{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9807473","patent":{"patent_number":"US-9807473","title":"Jointly modeling embedding and translation to bridge video and language","assignee":null,"inventors":[],"filing_date":"2015-11-20T00:00:00.000Z","publication_date":"2017-10-31T00:00:00.000Z","cpc_codes":["H04N","G06F","G06F","G06F","G06N","G06N","G06N","G06V","G06V","G06V","G06V","H04N"],"num_claims":20,"abstract":"Video description generation using neural network training based on relevance and coherence is described. In some examples, long short-term memory with visual-semantic embedding (LSTM-E) can maximize the probability of generating the next word given previous words and visual content and can create a visual-semantic embedding space for enforcing the relationship between the semantics of an entire sentence and visual content. LSTM-E can include a 2-D and/or 3-D deep convolutional neural networks for learning powerful video representation, a deep recurrent neural network for generating sentences, and a joint embedding model for exploring the relationships between visual content and sentence semantics."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Jointly modeling embedding and translation to bridge video and language","description":"Video description generation using neural network training based on relevance and coherence is described. In some examples, long short-term memory with visual-semantic embedding (LSTM-E) can maximize ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9807473","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-9807473","citation_suggestion":"Patentable. \"Jointly modeling embedding and translation to bridge video and language\" (US-9807473). https://patentable.app/patents/US-9807473","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9807473","json":"https://patentable.app/api/llm-context/US-9807473","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T15:38:48.976Z"}