{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9710935","patent":{"patent_number":"US-9710935","title":"Pixel-prediction for compression of visual data","assignee":null,"inventors":[],"filing_date":"2012-12-04T00:00:00.000Z","publication_date":"2017-07-18T00:00:00.000Z","cpc_codes":["G06T","G06T","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N"],"num_claims":14,"abstract":"The embodiments relate to pixel-prediction methods and devices that are based on one of a selection of one out of at least two model functions that provide a prediction function and an adaptive model function that is capable to predict intensity characteristics of reference pixels used for prediction."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Pixel-prediction for compression of visual data","description":"The embodiments relate to pixel-prediction methods and devices that are based on one of a selection of one out of at least two model functions that provide a prediction function and an adaptive model ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9710935","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-9710935","citation_suggestion":"Patentable. \"Pixel-prediction for compression of visual data\" (US-9710935). https://patentable.app/patents/US-9710935","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9710935","json":"https://patentable.app/api/llm-context/US-9710935","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T11:18:03.832Z"}