{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852769","patent":{"patent_number":"US-9852769","title":"Elastic cloud video editing and multimedia search","assignee":null,"inventors":[],"filing_date":"2013-05-20T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G11B","G06F","G06F","H04N","H04N","H04N","H04N"],"num_claims":15,"abstract":"Technologies for cloud-based media search and editing include a video editor configured to build a media query and associate the media query with a dynamic content slot of a media program. When generating video output based on the media program, the video editor transmits the media query to a cloud analytics server and receives 5 search results identifying one or more media clips produced by a number of mobile computing devices. The video editor may display a list of clips for selection by the user or may automatically include one of the clips in the output. The cloud analytics server transmits an acceptance policy defining criteria for acceptable media, based on the media query, to the mobile computing devices. The mobile computing devices configure 10 capture settings according to the acceptance policy and may display a user interface to assist the user in capturing acceptable media. Other embodiments are described and claimed."},"analysis":{"summary":"The **Elastic Cloud Video Editing and Multimedia Search** patent (US-9852769) introduces a revolutionary system for cloud-based media search and dynamic video editing. At its core, this innovation allows a video editor to define a 'media query' and associate it with a 'dynamic content slot' within a media program. Instead of relying solely on existing archives, this system intelligently sources content, including user-generated media, in real-time.\n\nWhen outputting video, the editor transmits the media query to a sophisticated cloud analytics server. This server performs two critical functions: first, it rapidly identifies and retrieves relevant media clips from various sources, including a network of mobile computing devices. Second, and uniquely, it can proactively solicit new content. It achieves this by sending an 'acceptance policy'—a set of predefined criteria for desired media quality and content—to mobile computing devices. These devices then configure their capture settings according to the policy and even display a user interface to guide users in capturing media that meets the project's exact requirements.\n\nThe problem this technology solves is the inefficiency and static nature of traditional video content acquisition, especially for dynamic projects requiring fresh, diverse, or real-time footage. It eliminates the need for extensive manual searching and reduces reliance on costly, slow, centralized production crews.\n\nKey technical approaches include a distributed architecture leveraging cloud computing for analytics and orchestration, intelligent query processing, and a bidirectional communication channel with mobile devices for guided content capture. This creates a scalable, responsive ecosystem for multimedia production.\n\nFrom a business perspective, the invention offers significant value. It streamlines video production workflows, drastically reduces time-to-content, and lowers operational costs. It enables media companies, advertisers, and content creators to access a global network of contributors for authentic, localized, and high-quality footage on demand. This fosters greater agility, relevance, and diversity in content creation.\n\nThe market opportunity is substantial, spanning media and entertainment, digital marketing, journalism, and education. Any industry requiring dynamic, data-driven, and rapidly produced video content stands to benefit immensely from this elastic, cloud-powered approach to multimedia search and editing.","layman_explanation":"## Layman's Explanation: Elastic Cloud Video Editing and Multimedia Search\n\nThe digital age is hungry for video content – from breaking news and social media trends to corporate communications and educational modules. But producing this content quickly, efficiently, and with high relevance is a constant struggle. This is where the **Elastic Cloud Video Editing and Multimedia Search** patent (US-9852769) steps in, offering a transformative approach to how businesses acquire and integrate multimedia.\n\n### What Problem Does This Solve?\n\nImagine a news agency trying to cover a global event, or a marketing team needing hyper-localized footage for an ad campaign. The traditional methods are slow and costly. You either send out expensive film crews, which takes time and resources, or you sift through vast, uncurated archives of existing footage, hoping to find something suitable. User-generated content (UGC) is abundant, but it's often of inconsistent quality, poorly tagged, and difficult to discover efficiently. The core business problem is the bottleneck in acquiring *specific, high-quality, relevant* video content on demand, especially from diverse and distributed sources. Existing solutions are largely reactive; they wait for content to be produced and then try to find it. This invention proposes a proactive, intelligent system.\n\n### How Does It Work? (Conceptual Explanation)\n\nThink of this patent as creating an intelligent, dynamic bridge between content creators (like video editors) and potential content sources (like people with smartphones). It operates on a simple, yet powerful, principle:\n\n1.  **The Editor Makes a 'Request'**: A video editor, working on a project, identifies a 'gap' or a 'need' for specific footage – let's say, 'a vibrant street market scene in Marrakesh.' Instead of a generic search, the editor sends a detailed 'media query' to a powerful, centralized intelligence system running in the cloud (the 'cloud analytics server'). This query specifies not just *what* is needed, but also desired quality, duration, and even stylistic elements.\n\n2.  **The Cloud System Searches and Asks**: The cloud system then does two things simultaneously:\n    *   It quickly scours existing digital libraries and previously uploaded content (potentially from other mobile devices) for clips that match the editor's request.\n    *   Crucially, if it can't find the perfect match, or if fresh content is preferred, it proactively sends out an 'acceptance policy' to relevant mobile devices. Imagine it sending a message to smartphones in Marrakesh saying, 'We need a 30-second clip of a street market, shot in landscape, good lighting, showing local crafts.'\n\n3.  **Mobile Devices Become Smart Recorders**: People with phones in Marrakesh (who have opted into the system) receive this 'acceptance policy.' Their phone's camera app then intelligently configures itself (e.g., sets resolution, focus, exposure) and might even display a user-friendly guide on the screen – like an overlay showing how to frame the shot or real-time feedback on lighting. This guides the user to capture exactly what the editor needs, ensuring quality and relevance from the outset.\n\n4.  **Content Flows Back**: The newly captured (and pre-qualified) footage is then sent back to the cloud system, which presents it to the editor for selection or even automatically integrates it into the video program. It's like having a global network of smart, guided camera operators available on demand.\n\n### Why Does This Matter?\n\nThis innovation fundamentally alters the economics and capabilities of video production. For businesses, it means:\n\n*   **Unprecedented Speed to Market**: Dramatically reduces the time and effort required to source specific video content, enabling faster news cycles, quicker campaign launches, and more responsive content strategies.\n*   **Significant Cost Savings**: Reduces reliance on expensive, dedicated production crews for many types of content, leading to lower operational costs.\n*   **Enhanced Content Quality and Relevance**: By guiding content creation at the source, it ensures higher quality and greater relevance than typical UGC, boosting audience engagement and brand perception.\n*   **Global Scalability and Diversity**: Companies can tap into a worldwide network of contributors, accessing authentic, localized content that resonates with diverse audiences, without geographical limitations.\n*   **Competitive Edge**: Organizations leveraging this technology can produce more dynamic, timely, and engaging video content than competitors still using traditional methods.\n\n### What's Next?\n\nThe principles of the Elastic Cloud Video Editing and Multimedia Search patent pave the way for a new era of 'content-on-demand.' We could see widespread adoption in media, advertising, corporate training, and even social media platforms. Future applications might include fully automated content assembly based on AI-driven editorial decisions, or integration with augmented reality experiences that dynamically pull in real-world footage. For investors, this represents a significant opportunity in the burgeoning cloud media infrastructure and content creation technology sectors, promising substantial ROI for businesses that embrace this agile, intelligent approach to multimedia.","technical_analysis":"The **Elastic Cloud Video Editing and Multimedia Search** patent (US-9852769) outlines a sophisticated distributed system architecture designed to overcome the limitations of traditional, centralized video content acquisition and editing workflows. This innovation leverages cloud computing and mobile device capabilities to create a dynamic, responsive multimedia ecosystem.\n\n**System Architecture:**\nAt a high level, the system comprises three primary components:\n1.  **Video Editor Client**: This is the user-facing interface where an editor constructs media programs. Crucially, it's augmented with the ability to define 'media queries' and associate them with 'dynamic content slots'. These slots are placeholders in the media program that can be filled by content identified or captured via the cloud system.\n2.  **Cloud Analytics Server**: This acts as the central intelligence and orchestration layer. It's a scalable, cloud-based service responsible for processing media queries, performing searches across various data sources, generating acceptance policies, and managing communication with mobile devices.\n3.  **Mobile Computing Devices**: These are distributed endpoints (e.g., smartphones, tablets) equipped with capture capabilities. They receive acceptance policies, configure their capture settings, display user interfaces to guide users, and transmit captured media back to the cloud server.\n\n**Implementation Details and Algorithm Specifics:**\nWhen an editor initiates the generation of video output, the video editor client transmits a precisely formulated `mediaQuery` object to the `CloudAnalyticsServer`. This `mediaQuery` is not merely a string of keywords but a structured data object that can include:\n*   **Semantic descriptors**: e.g., `object_detection: 'person_running'`, `scene_type: 'urban_park'`\n*   **Temporal constraints**: e.g., `capture_date_range: 'last_24_hours'`, `event_timestamp: '2023-10-26T14:30:00Z'`\n*   **Geospatial parameters**: e.g., `location: {lat: 34.0522, lon: -118.2437, radius: 5km}`\n*   **Technical specifications**: e.g., `min_resolution: '1920x1080'`, `min_framerate: '30fps'`, `audio_presence: 'true'`\n\nThe `CloudAnalyticsServer` then executes a multi-stage process:\n1.  **Distributed Search**: It queries internal media repositories (e.g., cloud storage of previously submitted UGC) and potentially external federated databases using the `mediaQuery`. This search can employ advanced indexing, semantic search, and machine learning models for relevance ranking.\n2.  **Proactive Content Solicitation**: If existing content is insufficient or new content is preferred, the server generates an `acceptancePolicy` based on the `mediaQuery`. This policy is a machine-readable set of instructions for content capture. It might define specific camera settings (ISO, aperture, white balance, focus mode), target objects for AI-assisted framing, audio recording parameters, and even textual prompts for user guidance.\n3.  **Mobile Device Interaction**: The `acceptancePolicy` is transmitted to relevant `MobileComputingDevices`. Relevance can be determined by location (GPS data), user profiles (e.g., opted-in content creators), or device capabilities. Upon receipt, the mobile device's media capture application:\n    *   Programmatically adjusts its camera and microphone settings according to the policy.\n    *   Displays a user interface (UI) overlay. This UI might show a bounding box for an object to be filmed, real-time feedback on lighting conditions, a countdown timer for a specific event, or textual instructions (e.g., \"Capture a close-up of the street performer's face\"). This guidance significantly improves the likelihood of capturing acceptable media.\n    *   Captures media, potentially with on-device pre-processing or validation against the policy.\n    *   Transmits the captured (and validated) media back to the `CloudAnalyticsServer`.\n4.  **Result Aggregation and Delivery**: The server aggregates search results (both existing and newly captured clips) and sends a list of identified clips to the `VideoEditorClient`. The editor can then manually select a clip or configure the system for automatic inclusion based on predefined rules (e.g., highest quality, closest match).\n\n**Integration Patterns and Performance Characteristics:**\nThis system promotes an asynchronous, event-driven integration pattern. Mobile devices act as edge nodes, reducing the need to stream all raw footage to the cloud, thus optimizing bandwidth. The `CloudAnalyticsServer` would likely utilize serverless functions (e.g., AWS Lambda, Google Cloud Functions) for query processing and policy generation, ensuring elastic scalability. Media storage would reside in object storage (e.g., S3, GCS) for cost-efficiency and global accessibility. Real-time communication with mobile devices could be facilitated by WebSockets or push notification services.\n\nPerformance benefits include significantly reduced content acquisition time, improved relevance and quality of sourced media, and the ability to scale content creation globally without proportional increases in human resources. Latency is minimized by intelligent filtering at the edge (mobile devices) and efficient cloud-based processing.\n\n**Code-Level Implications:**\nDevelopers implementing such a system would need robust APIs for `mediaQuery` definition, `acceptancePolicy` generation and parsing, and secure media upload. Mobile SDKs would be essential for integrating the capture setting adjustments and guided UI overlays. Machine learning frameworks would be critical for semantic analysis, object detection, and content validation on both the server and potentially the mobile device (for edge AI). This architecture encourages modularity and microservices, allowing individual components (e.g., geospatial search, policy engine, mobile capture module) to be developed and scaled independently. The Elastic Cloud Video Editing and Multimedia Search patent thus provides a blueprint for a highly advanced, distributed media production system.","business_analysis":"The **Elastic Cloud Video Editing and Multimedia Search** patent (US-9852769) represents a significant leap forward in multimedia content creation and management, offering substantial business opportunities and competitive advantages across various sectors. This innovation addresses fundamental inefficiencies in current video production workflows, particularly those reliant on dynamic, real-time, or user-generated content.\n\n**Market Opportunity Size:**\nThe global video content creation market is experiencing explosive growth, driven by streaming services, social media, digital advertising, and corporate communications. This market, estimated to be hundreds of billions of dollars, is constantly seeking solutions for faster, cheaper, and more scalable content production. The segment specifically targeting user-generated content (UGC), citizen journalism, and real-time event coverage is particularly ripe for disruption. This patent positions its underlying technology to capture a significant share of this expanding market by enabling capabilities previously unachievable at scale.\n\n**Competitive Advantages:**\n1.  **Speed and Agility:** The ability to dynamically query and acquire specific media clips, or even prompt their creation, drastically reduces content acquisition and production cycles. This offers a critical advantage for news organizations, live event broadcasters, and rapid-response marketing campaigns.\n2.  **Cost Efficiency:** By leveraging a distributed network of mobile devices and cloud analytics, the system minimizes the need for expensive, centralized film crews and extensive manual media sifting. This leads to substantial cost savings in content production.\n3.  **Quality Control at Source:** The 'acceptance policy' mechanism ensures that user-generated content meets predefined quality and relevance standards *at the point of capture*. This significantly reduces post-production rework and improves the overall quality of sourced media, a common pain point with generic UGC platforms.\n4.  **Scalability and Global Reach:** Being cloud-based, the system can scale elastically to handle immense volumes of queries and content streams from a global network of mobile devices. This provides unparalleled access to diverse perspectives and localized content.\n5.  **Enhanced Content Relevance:** The intelligent media query and search capabilities ensure that the content acquired is highly relevant to the specific needs of the media program, moving beyond generic stock footage to targeted, on-demand assets.\n\n**Revenue Potential and Business Models:**\nPotential revenue streams could include:\n*   **Subscription-based SaaS Platform:** Offering the Elastic Cloud Video Editing and Multimedia Search system as a service to media companies, production houses, marketing agencies, and corporate content teams.\n*   **Per-Query/Per-Clip Pricing:** A transaction-based model for specialized content acquisition requests.\n*   **Licensing:** Licensing the patented technology to existing video editing software providers, cloud service platforms, or mobile device manufacturers.\n*   **Premium Features:** Offering advanced analytics, AI-powered content validation, or dedicated support tiers.\n\n**Strategic Positioning:**\nThis innovation allows companies to strategically position themselves as leaders in next-generation content production. It fosters a move from reactive content management to proactive, intelligent content generation. For media outlets, it means delivering more timely, authentic, and diverse stories. For advertisers, it enables hyper-localized and contextually relevant campaigns. For technology providers, it offers a pathway to integrate advanced cloud, AI, and mobile capabilities into their offerings, creating sticky ecosystems.\n\n**ROI Projections:**\nOrganizations adopting this technology can expect significant ROI through:\n*   **Reduced Operational Costs:** Lower spend on traditional content acquisition and post-production.\n*   **Increased Production Volume/Speed:** Ability to generate more content faster, leading to higher audience engagement and revenue streams.\n*   **Improved Content Quality:** Higher quality, relevant content can command better advertising rates or subscription uptake.\n*   **Competitive Differentiation:** Gaining a first-mover advantage or solidifying market leadership through superior content capabilities. For instance, a news organization could achieve a 20-30% reduction in content acquisition costs for certain types of stories while increasing coverage breadth by 50%.\n\nIn essence, the Elastic Cloud Video Editing and Multimedia Search patent provides a robust framework for building highly efficient, scalable, and intelligent video production pipelines, enabling businesses to thrive in the demanding, dynamic world of digital media.","faqs":[{"answer":"The **Elastic Cloud Video Editing and Multimedia Search** patent (US-9852769) describes a pioneering system for cloud-based media search and dynamic video editing. At its core, this innovation allows a video editor to define a 'media query' – a detailed request for specific video content – and associate it with a 'dynamic content slot' within a media program. Instead of relying solely on existing archives, this system intelligently sources content, including user-generated media, in real-time.\n\nWhen the video editor is generating output, the media query is transmitted to a sophisticated cloud analytics server. This server not only identifies relevant existing media clips but also proactively solicits new content by sending 'acceptance policies' to mobile computing devices. These policies define criteria for acceptable media, guiding users to capture high-quality, relevant footage. This transforms traditional, often static, video production into an agile, responsive, and globally connected process.\n\nEssentially, it's a smart system that lets video creators *ask* for specific footage, and then either finds it or guides people with phones to *create* it exactly as needed, all managed through a scalable cloud infrastructure. This significantly streamlines the content acquisition workflow, making it faster and more precise.","question":"What is Elastic Cloud Video Editing and Multimedia Search?"},{"answer":"The **Elastic Cloud Video Editing and Multimedia Search** system operates through a clever interaction between a video editor, a cloud analytics server, and a network of mobile devices. Here's a step-by-step breakdown:\n\n1.  **Editor Defines Need**: A video editor uses their editing software to specify a 'media query' for a particular section of their video. This query is highly detailed, covering desired content (e.g., 'a cat playing with yarn'), location, time, and technical quality requirements.\n2.  **Query to Cloud**: This media query is sent to a powerful 'cloud analytics server.' This server acts as the central intelligence hub for the entire system.\n3.  **Search and Solicit**: The cloud analytics server then performs two key actions: first, it searches its own databases and potentially other sources for existing media clips that match the query. Second, and uniquely, it can generate an 'acceptance policy' – a detailed set of instructions for capturing the desired media (e.g., minimum resolution, specific framing, good lighting).\n4.  **Mobile Device Guidance**: This acceptance policy is transmitted to relevant mobile computing devices (e.g., smartphones in the specified geographic area, or registered content contributors). These devices then configure their camera settings automatically according to the policy and display a user interface to guide the user in capturing footage that meets the exact requirements.\n5.  **Content Delivery**: The newly captured (and pre-qualified) media is then sent back to the cloud analytics server, which presents it to the video editor for selection or automatic inclusion into the video program. This entire process is designed to be elastic and scalable, leveraging cloud computing resources to handle varying demands efficiently.","question":"How does Elastic Cloud Video Editing and Multimedia Search work?"},{"answer":"The **Elastic Cloud Video Editing and Multimedia Search** patent addresses several critical problems inherent in traditional video content creation and acquisition. Firstly, it solves the inefficiency and static nature of finding specific, high-quality media. Editors often waste significant time manually searching through vast, uncurated libraries or stock footage, which may not perfectly match their vision or be current.\n\nSecondly, the invention tackles the high cost and logistical challenges of custom content acquisition. Sending dedicated film crews for every unique shot, especially for global or time-sensitive events, is expensive and slow. This technology provides a cost-effective alternative by leveraging a distributed network of mobile devices.\n\nThirdly, it resolves the problem of inconsistent quality and relevance often associated with user-generated content (UGC). By transmitting 'acceptance policies' and providing on-device guidance, the system ensures that solicited UGC meets predefined professional standards, drastically reducing post-production rework and improving editorial suitability. Overall, this innovation streamlines the entire content workflow, making it faster, cheaper, more precise, and globally scalable for dynamic media production.","question":"What problem does Elastic Cloud Video Editing and Multimedia Search solve?"},{"answer":"The patent **Elastic Cloud Video Editing and Multimedia Search** (US-9852769) does not list specific inventors in the provided data. Typically, patent applications list the individual inventors who contributed to the conception of the invention, and an assignee (if any) which is often the company or organization that owns the patent rights.\n\nFor this particular patent, the assignee field is also not provided in the input data, meaning the patent might have been filed by individuals directly or by an organization not specified in the abstract. To identify the exact inventors and assignee, one would typically consult the full patent document available from the USPTO or other patent databases. This information is crucial for understanding the intellectual lineage and ownership of such a significant technological advancement in cloud-based media editing and search.","question":"Who invented Elastic Cloud Video Editing and Multimedia Search?"},{"answer":"The **Elastic Cloud Video Editing and Multimedia Search** patent offers numerous key benefits that can revolutionize the media and content creation industries:\n\n1.  **Speed and Agility**: It drastically reduces the time required to acquire specific, relevant footage, enabling faster production cycles for news, marketing campaigns, and dynamic content projects.\n2.  **Cost Efficiency**: By leveraging a distributed network of mobile devices and cloud analytics, it minimizes the need for expensive, traditional film crews and extensive manual content searching, leading to significant cost savings.\n3.  **Enhanced Content Quality and Relevance**: The 'acceptance policy' and on-device guidance ensure that user-generated or solicited content meets predefined quality and content standards, improving editorial suitability and reducing post-production effort.\n4.  **Global Scalability and Diverse Perspectives**: Its cloud-native architecture allows for elastic scaling, handling immense volumes of queries and content streams from a global network of mobile devices, providing access to authentic, localized, and diverse content.\n5.  **Proactive Content Acquisition**: It shifts from passive content search to active, intelligent content generation, allowing editors to *request* specific media rather than just finding what already exists. This makes the entire workflow more responsive and precise. These benefits collectively provide a powerful competitive advantage for any organization involved in video production.","question":"What are the key benefits of Elastic Cloud Video Editing and Multimedia Search?"},{"answer":"The **Elastic Cloud Video Editing and Multimedia Search** patent (US-9852769) introduces several fundamental differentiators from prior art in video content acquisition and editing:\n\n1.  **Proactive vs. Reactive**: Unlike traditional stock footage libraries or digital asset management (DAM) systems that are reactive (you search for what already exists), this invention is proactive. It can actively solicit *new* content by sending specific requests to mobile devices.\n2.  **Guided Content Capture**: A key innovation is the 'acceptance policy' mechanism, which transmits detailed content and quality criteria to mobile devices. These devices then configure their capture settings and provide user interface guidance to ensure the captured media meets professional standards. Prior art, especially with user-generated content (UGC), offers no such real-time, intelligent guidance at the point of capture, leading to inconsistent quality.\n3.  **Dynamic Querying**: The system allows for highly granular 'media queries' that go beyond simple keywords, encompassing semantic, temporal, geospatial, and technical specifications. This is far more sophisticated than typical search functions in existing media platforms.\n4.  **Elastic Cloud Orchestration**: The entire system is built on a scalable cloud analytics server, enabling elastic processing of massive queries and content streams from a globally distributed network. This level of dynamic, on-demand content orchestration is a significant departure from static or manually managed systems. In essence, this technology moves beyond merely finding video content to intelligently orchestrating its creation and integration, with built-in quality control and global scalability.","question":"How is Elastic Cloud Video Editing and Multimedia Search different from prior art?"},{"answer":"The **Elastic Cloud Video Editing and Multimedia Search** patent is poised to significantly impact a wide array of industries that rely heavily on dynamic and engaging video content:\n\n1.  **Media and Entertainment**: News organizations can achieve faster, more comprehensive, and multi-angle coverage of breaking stories. Documentary filmmakers can acquire authentic, localized footage from remote locations. Streaming platforms can enrich content with real-time, contextually relevant inserts.\n2.  **Advertising and Marketing**: Brands can create highly personalized and localized campaigns by requesting specific content from target demographics or geographic areas, leading to more relevant and impactful advertisements.\n3.  **Journalism**: Citizen journalism can be elevated to a more professional standard, with guided content capture ensuring higher quality and verifiability of eyewitness footage.\n4.  **Corporate Communications**: Companies can rapidly generate internal video updates, training modules, or event coverage, leveraging employee-generated content that adheres to brand guidelines and specific messaging.\n5.  **Social Media Platforms**: These platforms could integrate the technology to enhance user-generated content quality for trends, challenges, or collaborative projects, fostering more engaging and higher-quality user contributions. This innovation offers a foundational technology for any sector seeking agile, cost-effective, and high-quality video production at scale.","question":"What industries will Elastic Cloud Video Editing and Multimedia Search impact?"},{"answer":"The **Elastic Cloud Video Editing and Multimedia Search** patent (US-9852769) has specific dates associated with its lifecycle:\n\n*   **Filing Date**: The patent application was originally filed on **2013-05-20** (May 20, 2013). This date marks when the inventors or assignee submitted their application to the patent office, formally initiating the patent examination process.\n*   **Publication Date**: The patent was subsequently published on **2017-12-26** (December 26, 2017). This is the date when the patent was officially granted and made publicly available by the patent office. The period between the filing date and the publication date allows for examination, potential revisions, and review by patent examiners. Understanding these dates is important for assessing the technology's novelty, prior art landscape at the time of filing, and its current status as an enforceable intellectual property right.","question":"When was Elastic Cloud Video Editing and Multimedia Search filed/granted?"},{"answer":"The commercial applications of the **Elastic Cloud Video Editing and Multimedia Search** patent are extensive, offering significant value across various industries:\n\n1.  **Content-on-Demand Platforms**: Development of SaaS platforms that allow businesses to dynamically request and acquire specific video content from a global network of contributors, paying per clip or via subscription.\n2.  **Integration with Professional Editing Suites**: Licensing the core technology to existing video editing software providers (e.g., Adobe, Avid) to integrate dynamic content acquisition directly into their platforms, enhancing their value proposition.\n3.  **Real-time News and Event Coverage Systems**: Implementation for news agencies and broadcasters to rapidly source authentic, multi-angle footage from breaking news events or live concerts, significantly reducing operational costs and improving timeliness.\n4.  **Hyper-Localized Marketing Solutions**: Offering services to marketing and advertising agencies to create campaigns that feature highly specific, localized content, captured on demand to resonate deeply with target demographics in particular regions.\n5.  **Corporate Training and Communications**: Tools for enterprises to quickly generate internal training videos, corporate event recaps, or internal communications by soliciting content from employees globally while maintaining brand and quality standards. These applications highlight the patent's potential to streamline workflows, reduce costs, and enhance the relevance and quality of video content across the commercial spectrum.","question":"What are the commercial applications of Elastic Cloud Video Editing and Multimedia Search?"},{"answer":"Building upon the foundational principles of the **Elastic Cloud Video Editing and Multimedia Search** patent, several exciting future developments can be anticipated:\n\n1.  **Advanced AI-Driven Policy Generation**: Future iterations will likely see AI systems automatically inferring and generating 'acceptance policies' based on desired content styles, emotional tones, or even learning from successful past projects, requiring less manual input from editors.\n2.  **Autonomous Content Assembly**: Integration with more sophisticated AI will enable semi-autonomous or fully autonomous assembly of video segments. The system could not only acquire content but also make initial editorial decisions, stitching together clips based on narrative flow or specific objectives.\n3.  **Federated Learning for Content Validation**: To enhance privacy and efficiency, on-device machine learning models for content validation could be trained using federated learning, allowing mobile devices to improve their ability to capture acceptable media without sending raw, sensitive data to a central server.\n4.  **Integration with AR/VR for Guided Capture**: Augmented Reality (AR) overlays on mobile devices could become far more sophisticated, providing highly intuitive, real-time visual cues for complex shots, guiding users to achieve cinematic-quality framing, depth, and movement.\n5.  **Ubiquitous Sensor Integration**: Beyond smartphones, the system could integrate with a wider array of smart devices and IoT sensors (e.g., smart cameras, drones, wearables) to become an even more pervasive and responsive content acquisition network, opening new possibilities for environmental monitoring, industrial inspection, and immersive storytelling. These developments will further cement the Elastic Cloud Video Editing and Multimedia Search system as a cornerstone of next-generation media production.","question":"What are the future developments expected for Elastic Cloud Video Editing and Multimedia Search?"}],"topics":["elastic cloud video editing","multimedia search patent","cloud-based media editing","dynamic content acquisition","mobile video capture","burgeoning","demand","dynamic"],"tech_cluster":null},"seo":{"title":"Elastic Cloud Video Editing and Multimedia Search - Patent US-9852769","description":"Discover the Elastic Cloud Video Editing and Multimedia Search patent (US-9852769). Real-time, cloud-based media search and editing with dynamic mobile content capture.","keywords":["elastic cloud video editing","multimedia search patent","cloud-based media editing","dynamic content acquisition","mobile video capture","user-generated content","real-time video production","patent US-9852769","cloud analytics media","video workflow innovation"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852769","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9852769","citation_suggestion":"Patentable. \"Elastic cloud video editing and multimedia search\" (US-9852769). https://patentable.app/patents/US-9852769","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852769","json":"https://patentable.app/api/llm-context/US-9852769","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T15:04:19.560Z"}