Training a classifier algorithm used for automatically generating tags to be applied to images
US-2017364773-A1 · Dec 21, 2017 · US
US9317751B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9317751-B2 |
| Application number | US-201213467691-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 9, 2012 |
| Priority date | Apr 18, 2012 |
| Publication date | Apr 19, 2016 |
| Grant date | Apr 19, 2016 |
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A system for searching at least one video signal based on an input text string includes a video processing system that processes the at least one video signal by decoding the at least one video signal, encoding the at least one video signal or transcoding the at least one video signal. The video processing system generates a plurality of text strings that describe the video signal in conjunction with the processing. A memory stores a searchable index that includes the plurality of text strings. A search module identifies at least one matching video of the at least one video signal by comparing the input text string to the plurality of text strings of the searchable index.
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What is claimed is: 1. A system for processing a video signal into a processed video signal, the video signal including an image sequence, the system comprising: a video codec that generates the processed video signal and that further generates coding feedback data, wherein the coding feedback data includes shot transition data generated as a byproduct of an encoding of the video signal based on picture variance and motion cost data generated as part of the encoding and wherein th…
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