Encoding digital content based on models for predicting similarity between exemplars
US8712930B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 4, 2011 |
| Grant date | Apr 29, 2014 |
| Priority date | — |
| Expiry date | Jul 5, 2032 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/189
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
An exemplar dictionary is built from exemplars of digital content for determining predictor blocks for encoding and decoding digital content. The exemplar dictionary organizes the exemplars as clusters of similar exemplars. Each cluster is mapped to a label. Machine learning techniques are used to generate a prediction model for predicting a label for an exemplar. The exemplar dictionary is used to encode digital content. Clusters of exemplars are obtained by applying a prediction model to a target block of digital content for encoding. A predictor block is selected for encoding the target block based on frequency of occurrence of exemplars in the clusters. The target block is encoded using the predictor block.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.