{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9852770","patent":{"patent_number":"US-9852770","title":"Technologies for dynamic generation of a media compilation","assignee":null,"inventors":[],"filing_date":"2015-09-26T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G11B","G06F","G06F","G06F","G11B","G11B","H04N","H04N"],"num_claims":19,"abstract":"Technologies for generating a media compilation include comparing video metadata associated with a video to audio metadata associated with a plurality of digital songs to determine one or more matches between the compared metadata. The metadata defines various characteristics of the corresponding video and digital songs, and each match is indicative of a similar characteristic of the video and a corresponding digital song. One or more sync points are generated based on the determined matches and one or more songs are selected based on the sync points. The sync points may be prioritized based on the characteristics associated with the sync point and/or the degree of similarity. The video and the selected digital song(s) are subsequently compiled based on the associated sync points."},"analysis":{"summary":"The patent, titled \"Technologies for Dynamic Generation of a Media Compilation,\" introduces a sophisticated method for automatically creating highly synchronized and contextually relevant media compilations by intelligently matching video content with digital songs. The core innovation lies in its ability to compare extensive video metadata (characteristics of the video) with audio metadata (characteristics of digital songs) to identify precise matches.\n\nThe primary problem this invention solves is the manual, often time-consuming, and imprecise process of synchronizing video and audio, which frequently results in generic or mismatched content. Existing solutions often lack the granularity to understand the deeper thematic or emotional alignment required for truly compelling media.\n\nTechnically, the system operates by first analyzing descriptive metadata for both the video and a plurality of digital songs. This metadata defines various characteristics, such as mood, tempo, theme, or specific events. It then performs a comparison to find instances where these characteristics align, indicating a 'match.' Based on these matches, the technology generates 'sync points' – specific temporal markers where the video and selected audio can be effectively combined. A crucial aspect is the prioritization of these sync points, which can be based on the strength of the match or the significance of the characteristic, ensuring the most impactful alignments are chosen. Finally, the video and selected song(s) are compiled using these prioritized sync points.\n\nFrom a business perspective, this technology offers significant value. It enables platforms and creators to offer highly personalized media experiences at scale, enhancing user engagement and satisfaction. Applications range from automated music video generation, dynamic background music for live streams, to contextually intelligent advertising. The market opportunity is substantial, spanning entertainment, social media, marketing, and education, as it provides a scalable solution for delivering bespoke content that resonates deeply with audiences.","layman_explanation":"### What Problem Does This Solve?\n\nImagine you're trying to create a compelling marketing video or even just a fun social media clip. The visual content might be fantastic, but to truly engage your audience, you need the perfect soundtrack. Manually finding a song that matches the mood, tempo, and key moments of your video, and then painstakingly editing it to sync flawlessly, is incredibly time-consuming and often requires professional expertise. The result is that much digital content either uses generic, uninspired background music or simply lacks the emotional punch that well-synchronized audio provides. This patent, **Technologies for Dynamic Generation of a Media Compilation**, addresses this critical bottleneck: the difficulty and inefficiency of creating truly cohesive and emotionally resonant video-audio experiences at scale. Existing solutions often rely on basic genre matching or manual intervention, falling short of delivering truly dynamic and personalized content.\n\n### How Does It Work?\n\nThink of this innovation as a highly intelligent, automated media director. It doesn't just guess; it *understands*. Here’s a conceptual breakdown:\n\n1.  **Deep Content Analysis:** The system first 'reads' your video and 'listens' to a vast library of digital songs. But it goes beyond surface-level information. For the video, it might analyze things like the emotional tone of a scene (is it happy, dramatic, exciting?), the pace of the action, the presence of specific objects, or even the overall aesthetic. For songs, it identifies similar nuanced characteristics: tempo, mood, instrumentation, energy levels, and even structural elements like a crescendo or a quiet moment. These detailed descriptions are what we call 'metadata.'\n2.  **Intelligent Matching:** The core magic happens when the system compares these detailed metadata sets. It's looking for deep, characteristic similarities. If your video has a segment with 'high energy' and 'rapid cuts,' it will search for songs that also have 'high tempo' and 'driving rhythm' in that particular section. It identifies multiple potential 'matches' that indicate strong alignment between video and audio characteristics.\n3.  **Pinpointing Key Moments (Sync Points):** Once it finds these matches, it doesn't just slap the song on. It intelligently identifies specific 'sync points' – precise moments in both the video and the song where they can be most effectively combined. For example, a visual climax in the video might be perfectly paired with a powerful chord progression in the music. It's like finding the perfect puzzle piece for each critical moment.\n4.  **Prioritizing the Best Fits:** The system can even prioritize these sync points. If there are several good matches, it determines which ones are most significant or have the strongest degree of similarity. This ensures that the final compilation is not just technically synchronized but also narratively and emotionally compelling, delivering the most impactful audio-visual experience.\n\nIn essence, this technology takes the guesswork and manual labor out of creating perfectly synchronized media, allowing for dynamic, intelligent, and contextually rich content generation.\n\n### Why Does This Matter?\n\nThis patent holds immense significance for businesses and content creators. In a competitive digital landscape, engagement is king. The ability to deliver highly personalized and emotionally resonant content automatically provides a critical competitive advantage. For marketing, it means dynamic ads that truly connect with viewers, potentially boosting conversion rates. For entertainment platforms, it enables automated creation of personalized music videos or dynamic background scores for live streams, driving user retention and satisfaction. Social media platforms can empower users to create more professional and engaging content effortlessly, increasing platform stickiness. The ROI comes from reduced production costs, increased audience engagement, and the creation of new, high-value content experiences that differentiate a brand in a crowded market. This innovation shifts the paradigm from generic content to bespoke, intelligent media delivery.\n\n### What's Next?\n\nThe immediate future will likely see this technology integrated into various content creation tools, marketing automation platforms, and streaming services. We can expect an acceleration in the adoption of AI-driven content personalization. Longer term, this innovation lays the groundwork for even more sophisticated adaptive media, where content not only responds to its own characteristics but also to user feedback, environmental cues, or real-time data streams. Investment implications are significant for companies in media tech, ad tech, and AI, as this patent provides a foundational component for the next generation of digital content experiences. It's a step towards a future where media is not just consumed, but dynamically composed for each individual.","technical_analysis":"The patent, **Technologies for Dynamic Generation of a Media Compilation**, describes a robust system designed to automate the intricate process of synchronizing video and audio content. The technical architecture revolves around sophisticated metadata processing, intelligent comparison algorithms, and dynamic sync point generation, culminating in a seamless media compilation. This innovation moves beyond simplistic beat-matching, aiming for semantic and characteristic alignment.\n\n**Technical Architecture:** The system conceptually comprises several key modules. An **Input & Metadata Extraction Module** handles the ingestion of video files and access to a vast library of digital songs. For each, it extracts and processes granular metadata. For video, this could involve computer vision algorithms to identify objects, scenes, emotional cues (e.g., facial expressions, color palettes), motion dynamics, and pacing. For audio, it utilizes audio analysis techniques to determine tempo, key, genre, mood, energy levels, instrumentation, and structural elements like drops or crescendos. This metadata is stored in a structured, queryable format, likely in a NoSQL database optimized for complex characteristic queries.\n\nAt the heart of the system is the **Cross-Media Metadata Comparison Engine**. This module takes the rich metadata from a target video and compares it against the metadata of a plurality of digital songs. The comparison isn't a simple boolean match; it involves determining 'one or more matches' indicative of 'similar characteristics.' This could be implemented using various algorithmic approaches:\n1.  **Semantic Similarity:** Using natural language processing (NLP) or embedding vectors for textual metadata (e.g., scene descriptions, song moods) to find conceptual overlaps.\n2.  **Feature Vector Matching:** Representing video and audio characteristics as multi-dimensional vectors and using distance metrics (e.g., cosine similarity) to find close matches.\n3.  **Machine Learning Models:** Training supervised models to predict optimal audio tracks given video characteristics, or unsupervised methods for clustering similar media segments.\n4.  **Rule-Based Systems:** Defining explicit rules, e.g., 'fast-paced video' matches 'high-BPM electronic music.'\n\nThe output of this engine is a set of potential matches, each associated with a 'degree of similarity' and the specific characteristics that aligned.\n\nThe **Sync Point Generation & Prioritization Algorithm** is the next critical stage. Based on the determined matches, this algorithm identifies precise temporal 'sync points' within both the video and the matched song(s). For instance, if a match indicates a dramatic visual climax aligns with an energetic musical peak, the algorithm would identify the start and end times for these segments as potential sync points. The patent explicitly mentions prioritizing these sync points based on two criteria: 'the characteristics associated with the sync point' (e.g., a major narrative event versus a subtle background shift) and 'the degree of similarity' (e.g., a strong semantic match versus a weak one). This prioritization ensures that the most impactful and coherent alignments are utilized, avoiding generic or awkward transitions.\n\nFinally, the **Media Compilation Module** takes the original video and the selected digital song(s), along with the prioritized sync points, and renders the final media compilation. This involves precise audio mixing, potentially dynamic volume adjustments, and seamless transitions to create a cohesive output. This module would leverage standard media processing libraries (e.g., FFmpeg) but guided by the intelligent instructions from the sync point algorithm.\n\n**Implementation Details & Performance:** Implementing this system demands efficient data structures for metadata indexing, low-latency comparison algorithms, and scalable media processing capabilities. Cloud-native architectures with microservices for each module would facilitate scalability and distributed processing. Performance characteristics are crucial for real-time or near real-time compilation, especially in user-facing applications. This implies optimized algorithms for metadata retrieval and comparison, potentially leveraging GPU acceleration for video/audio analysis, and efficient media transcoding pipelines. The ability to handle large volumes of video and audio data, and to perform complex comparisons quickly, is a key technical challenge addressed by the invention's approach to structured metadata and intelligent matching.","business_analysis":"The patent, **Technologies for Dynamic Generation of a Media Compilation**, represents a significant leap forward in personalized digital content, unlocking substantial market opportunities and competitive advantages for businesses across various sectors. The ability to dynamically generate media compilations by intelligently matching video and audio characteristics addresses a critical need in an increasingly content-saturated world.\n\n**Market Opportunity Size:** The global digital media market is vast and continually expanding, driven by streaming services, social media, and user-generated content. Within this, the demand for personalized and engaging experiences is paramount. This technology taps into several lucrative segments:\n*   **Personalized Entertainment:** The market for custom music videos, dynamic playlists for video content, and interactive storytelling. This could be a multi-billion dollar market for platforms seeking to differentiate.\n*   **Dynamic Advertising:** Ad spend continues to grow, with a strong shift towards personalized and contextual ads. This technology enables ads where the audio dynamically adapts to the visual content, potentially increasing engagement and conversion rates significantly. This is a massive market, where even marginal improvements in effectiveness yield substantial returns.\n*   **User-Generated Content (UGC) Enhancement:** Social media platforms thrive on UGC. Providing tools that effortlessly elevate user videos with perfectly matched soundtracks could dramatically increase content quality and user retention. The value here is in platform stickiness and virality.\n*   **Content Production Efficiency:** Streamlining the post-production process for video creators, marketers, and even filmmakers, reducing manual effort and costs associated with audio synchronization.\n\n**Competitive Advantages:** Companies leveraging this technology will gain a distinct edge:\n*   **Superior Personalization:** Offer a level of media personalization currently unmatched by most competitors, leading to higher user satisfaction and loyalty.\n*   **Scalability & Efficiency:** Automate a complex, labor-intensive process, allowing for the generation of vast amounts of unique, high-quality content at scale, far surpassing manual capabilities.\n*   **Enhanced Engagement:** Create more compelling and emotionally resonant content, driving deeper user engagement and longer viewing times.\n*   **New Revenue Streams:** Enable new product offerings, such as premium personalized content creation tools, or more effective ad placements.\n*   **Data-Driven Content Strategy:** The metadata analysis at the core of this patent provides valuable insights into content characteristics, informing future content creation and acquisition strategies.\n\n**Revenue Potential & Business Models:** This innovation supports various business models:\n*   **Subscription Services:** Offer premium features for personalized media creation or consumption within existing streaming platforms.\n*   **API-as-a-Service:** License the core technology via an API to third-party developers, content platforms, and ad agencies.\n*   **Platform Integration:** Integrate directly into social media platforms, video editors, or content management systems to enhance their core offerings.\n*   **Advertising Solutions:** Develop advanced ad tech solutions that leverage dynamic audio-visual synchronization for superior campaign performance.\n\n**Strategic Positioning:** This technology strategically positions companies at the forefront of AI-driven content creation and personalization. It allows for a move from generic content delivery to a bespoke, user-centric approach, which is becoming increasingly critical for market leadership. Companies can differentiate themselves by offering 'smart content' that understands and adapts to its audience.\n\n**ROI Projections:** The return on investment for implementing Technologies for Dynamic Generation of a Media Compilation is potentially high, driven by:\n*   Reduced operational costs in content production and editing.\n*   Increased user engagement and retention, leading to higher lifetime value.\n*   Improved advertising effectiveness, yielding better campaign ROI for advertisers.\n*   Creation of new, high-value product offerings and market segments. Early adopters could see significant market share gains and brand recognition as innovators in the personalized media space.","faqs":[{"answer":"**Technologies for Dynamic Generation of a Media Compilation** is a patent (US-9852770) that describes an innovative system for automatically creating synchronized media compilations, primarily by intelligently matching video content with digital songs. Unlike traditional methods that rely on manual editing or basic beat-matching, this invention uses sophisticated metadata analysis to understand the deeper characteristics of both video and audio.\n\nThe core idea is to move beyond superficial connections and identify nuanced similarities, such as emotional tone, thematic elements, or pacing, between visual and auditory components. This allows the system to generate compilations that are not only technically aligned but also narratively and emotionally coherent, delivering a more engaging and professional-quality experience.\n\nEssentially, this patent provides a blueprint for an AI-powered editor that can dynamically select and synchronize the perfect soundtrack for any video, making content creation faster, more efficient, and highly personalized. It represents a significant step towards truly intelligent media production and consumption.","keywords":["Technologies for Dynamic Generation of a Media Compilation definition","patent US-9852770 overview","automated media compilation","intelligent video audio sync","media technology explained"],"question":"What is Technologies for Dynamic Generation of a Media Compilation?"},{"answer":"The **Technologies for Dynamic Generation of a Media Compilation** patent outlines a multi-step, intelligent process. It begins by extracting comprehensive metadata from a video (e.g., scene descriptions, emotional cues, motion dynamics) and comparing it against metadata from a library of digital songs (e.g., tempo, mood, instrumentation). This metadata defines various characteristics of the corresponding media.\n\nThe system then determines 'one or more matches' between the compared metadata. These matches are not simple overlaps but are indicative of similar characteristics between the video and a corresponding digital song. For instance, a fast-paced action sequence in a video might match a high-energy, driving rhythm in a song.\n\nBased on these determined matches, the invention generates 'sync points.' These are precise temporal markers within both the video and the selected audio track where optimal alignment occurs. A crucial aspect is the prioritization of these sync points, which can be based on the significance of the characteristic (e.g., a major narrative event) and/or the degree of similarity of the match. Finally, the video and the selected digital song(s) are compiled based on these intelligently prioritized sync points, creating a seamless and engaging media compilation.","keywords":["how Technologies for Dynamic Generation of a Media Compilation works","metadata analysis process","sync point generation","video audio matching algorithm","dynamic content workflow"],"question":"How does Technologies for Dynamic Generation of a Media Compilation work?"},{"answer":"The **Technologies for Dynamic Generation of a Media Compilation** patent primarily solves the significant problem of inefficient, imprecise, and unscalable media synchronization. In today's digital age, content creators, marketers, and individuals often struggle to pair video content with the perfect audio soundtrack effectively.\n\nManually syncing video and audio is a laborious, time-consuming process that requires specialized skills and software, making it impractical for large volumes of content or real-time applications. Existing automated solutions often fall short, offering only basic beat-matching or superficial genre-based recommendations that fail to capture the nuanced emotional or thematic alignment crucial for compelling media. This leads to generic, mismatched, or unengaging content that fails to truly resonate with audiences.\n\nThis invention provides a robust, intelligent, and automated solution to this challenge, enabling the dynamic creation of high-quality, contextually relevant, and emotionally coherent media compilations at scale. It eliminates the need for extensive manual intervention, democratizing access to professional-grade media production.","keywords":["problem solved by Technologies for Dynamic Generation of a Media Compilation","media synchronization challenges","inefficient content creation","lack of personalized media","automated video editing solution"],"question":"What problem does Technologies for Dynamic Generation of a Media Compilation solve?"},{"answer":"The patent **Technologies for Dynamic Generation of a Media Compilation** (US-9852770) does not list specific inventors in the provided abstract. This information is typically found in the full patent document, which would detail the individual(s) or team credited with the invention.\n\nPatent filings often originate from research and development teams within corporations or from individual innovators. The assignee, if listed, would indicate the company or entity that owns the patent rights. Without explicit inventor names in the provided data, a definitive answer regarding the individual inventors cannot be given here.\n\nFor precise inventor details, one would need to consult the complete patent filing on official patent databases.","keywords":["inventors of Technologies for Dynamic Generation of a Media Compilation","patent US-9852770 inventors","who developed media compilation tech","patent assignee information","invention creators"],"question":"Who invented Technologies for Dynamic Generation of a Media Compilation?"},{"answer":"The **Technologies for Dynamic Generation of a Media Compilation** offers several significant benefits that can transform the digital media landscape:\n\nFirstly, it enables **unparalleled media personalization**. By intelligently matching video and audio characteristics, it creates compilations that are highly relevant and emotionally resonant, far surpassing generic or manually synced content. This leads to deeper user engagement and satisfaction.\n\nSecondly, it provides **massive efficiency and scalability** in content production. Automating the complex process of audio-visual synchronization drastically reduces the time and cost associated with post-production. This allows creators and platforms to generate vast quantities of high-quality, unique content quickly, which was previously impossible without significant manual labor.\n\nThirdly, it fosters **enhanced creative possibilities**. By removing the technical hurdles of synchronization, creators can focus more on the narrative and visual aspects of their content, knowing the perfect soundtrack can be dynamically generated. This democratizes access to professional-grade media production for a wider audience.\n\nFinally, it opens doors for **new business models and revenue streams**, particularly in dynamic advertising, personalized entertainment, and user-generated content platforms. The ability to deliver contextually perfect media experiences creates new value propositions for brands and consumers alike.","keywords":["benefits of Technologies for Dynamic Generation of a Media Compilation","advantages of dynamic media","content creation efficiency","personalized content benefits","enhanced user experience"],"question":"What are the key benefits of Technologies for Dynamic Generation of a Media Compilation?"},{"answer":"**Technologies for Dynamic Generation of a Media Compilation** differentiates itself significantly from prior art by moving beyond superficial synchronization to intelligent, characteristic-driven matching. Traditional methods often include manual editing, which is slow and costly, or basic automated tools that rely on rudimentary techniques like simple beat-matching or broad genre categorization.\n\nPrior art typically lacks the **granular metadata analysis** that defines this patent. Instead of just identifying tempo, this invention delves into nuanced characteristics like emotional tone, thematic elements, and specific visual or auditory events. This deeper understanding allows for more meaningful and contextually relevant matches.\n\nCrucially, this technology introduces **dynamic sync point generation and prioritization**. While some prior art might suggest start times, this patent intelligently determines precise temporal alignments based on detailed characteristic matches and then prioritizes these points based on their significance and degree of similarity. This ensures the resulting compilation is not just technically aligned, but also narratively coherent and emotionally impactful, a level of sophistication largely absent in previous automated solutions. This intelligent decision-making makes the output far superior to generic or haphazardly synchronized media.","keywords":["Technologies for Dynamic Generation of a Media Compilation vs prior art","patent differentiation","advanced metadata matching","intelligent synchronization","unique media technology features"],"question":"How is Technologies for Dynamic Generation of a Media Compilation different from prior art?"},{"answer":"**Technologies for Dynamic Generation of a Media Compilation** has the potential to impact a wide array of industries, revolutionizing how content is created, consumed, and monetized.\n\n**Entertainment and Media:** This includes streaming services, film production, and music industries. It can enable automated creation of personalized music videos, dynamic background scores for films or games that adapt to real-time action, and more engaging highlight reels. Social media platforms will also benefit by allowing users to effortlessly create professional-quality, synchronized content, boosting user engagement and content virality.\n\n**Advertising and Marketing:** The ability to dynamically match audio to visual ad content based on mood, pacing, or thematic elements can lead to significantly more effective and personalized advertising campaigns. This contextual relevance can increase engagement, brand recall, and conversion rates.\n\n**Education and Training:** Imagine e-learning modules where background music dynamically adapts to the complexity of the content or the student's engagement level. This can create more immersive and effective learning experiences.\n\n**User-Generated Content (UGC):** Empowering everyday users with tools that automatically elevate their videos with perfectly matched soundtracks will democratize high-quality content creation, fostering greater creativity and participation across all digital platforms. This innovation is a cross-industry game-changer for content strategy.","keywords":["industries impacted by Technologies for Dynamic Generation of a Media Compilation","media technology applications","entertainment innovation","advertising tech trends","social media content strategy"],"question":"What industries will Technologies for Dynamic Generation of a Media Compilation impact?"},{"answer":"The patent **Technologies for Dynamic Generation of a Media Compilation** (US-9852770) has specific dates associated with its filing and publication.\n\nThe **Filing Date** for this patent was **2015-09-26**. This is the date when the patent application was officially submitted to the patent office.\n\nThe **Publication Date** for this patent was **2017-12-26**. This is the date when the patent was officially published, making its details publicly accessible. The term 'granted' typically refers to the date when the patent is officially issued after examination, which is often close to the publication date for utility patents, though sometimes a separate 'issue date' is provided. For the purposes of public understanding and competitive analysis, the publication date is key as it marks when the invention's details become publicly available.","keywords":["Technologies for Dynamic Generation of a Media Compilation filing date","patent US-9852770 publication date","patent timeline","invention dates","patent status"],"question":"When was Technologies for Dynamic Generation of a Media Compilation filed/granted?"},{"answer":"The commercial applications of **Technologies for Dynamic Generation of a Media Compilation** are extensive and poised to disrupt several markets.\n\n**For Content Platforms:** Streaming services and social media platforms can integrate this technology to offer advanced features for their users. This could include automated music video creation from user-uploaded footage, dynamic background music for live streams that adapts to on-screen events, or personalized content recommendations with perfectly matched audio, leading to increased user engagement and retention.\n\n**In Advertising and Marketing:** Brands can leverage this for hyper-personalized and contextual advertising. Imagine ads where the background music or sound effects dynamically align with the visual content of the ad or the specific emotional message being conveyed. This can significantly boost ad effectiveness, recall, and conversion rates, offering a powerful tool for marketers seeking to cut through the noise.\n\n**For Content Creators and Production Houses:** The technology can serve as a powerful AI-driven assistant, dramatically reducing the time and cost associated with audio synchronization in post-production. This enables faster content iteration, higher output volume, and allows creative teams to focus on core storytelling rather than technical alignment. It democratizes access to professional-grade media quality.\n\n**For Software Developers:** The core technology can be licensed as an API, allowing developers to integrate intelligent media compilation capabilities into their own applications, from video editing software to interactive experiences. This creates a platform-as-a-service opportunity, fostering innovation across the tech ecosystem.","keywords":["commercial applications of Technologies for Dynamic Generation of a Media Compilation","media monetization strategies","dynamic advertising solutions","content platform features","AI in content production"],"question":"What are the commercial applications of Technologies for Dynamic Generation of a Media Compilation?"},{"answer":"The **Technologies for Dynamic Generation of a Media Compilation** patent lays a strong foundation for a future of highly intelligent and adaptive media. Future developments are likely to build upon its core principles of metadata analysis and dynamic synchronization.\n\nOne key area of development will be **integration with generative AI**. This could involve not just matching existing audio, but dynamically generating new music or soundscapes that perfectly fit a video's characteristics in real-time. Imagine an AI that composes a unique soundtrack for your vacation video based on its visual and emotional cues.\n\nAnother direction is **real-time and adaptive media**. The technology could evolve to enable live streaming platforms to adjust background music or sound effects in real-time based on the streamer's actions, audience reactions, or even biometric data from the viewer. This would create truly immersive and personalized interactive experiences.\n\nFurther enhancements will likely focus on **more sophisticated cross-modal understanding**, allowing the system to infer deeper narrative structures, emotional arcs, and user preferences to create even more compelling and contextually relevant compilations. This could lead to new forms of interactive storytelling and highly personalized content streams that learn and adapt to individual tastes over time. The journey towards fully autonomous and creative media production is just beginning with this innovation.","keywords":["future of Technologies for Dynamic Generation of a Media Compilation","generative AI in media","adaptive content development","real-time media synchronization","next-gen content creation"],"question":"What are the future developments expected for Technologies for Dynamic Generation of a Media Compilation?"}],"topics":["Technologies for Dynamic Generation of a Media Compilation","media compilation patent","video audio synchronization","metadata matching","dynamic content generation","burgeoning","demand","personalized","Technologies for Dynamic Generation of a Media Compilation definition","patent US-9852770 overview","how Technologies for Dynamic Generation of a Media Compilation works","metadata analysis process"],"tech_cluster":null},"seo":{"title":"Technologies for Dynamic Generation of a Media Compilation - US-9852770","description":"Discover the groundbreaking Technologies for Dynamic Generation of a Media Compilation patent. Intelligently syncs video and audio using metadata for personalized content. Explore its innovative approach.","keywords":["Technologies for Dynamic Generation of a Media Compilation","media compilation patent","video audio synchronization","metadata matching","dynamic content generation","personalized media","AI in media","content creation technology","US-9852770","patent analysis"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9852770","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-9852770","citation_suggestion":"Patentable. \"Technologies for dynamic generation of a media compilation\" (US-9852770). https://patentable.app/patents/US-9852770","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9852770","json":"https://patentable.app/api/llm-context/US-9852770","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T10:58:20.332Z"}