Amirpour et al., 2022 - Google Patents
Deepstream: Video streaming enhancements using compressed deep neural networksAmirpour et al., 2022
View PDF- Document ID
- 5951132497021258227
- Author
- Amirpour H
- Ghanbari M
- Timmerer C
- Publication year
- Publication venue
- IEEE Transactions on Circuits and Systems for Video Technology
External Links
Snippet
InIn HTTP Adaptive Streaming (HAS), each video is divided into smaller segments, and each segment is encoded at multiple pre-defined bitrates to construct a bitrate ladder. To optimize bitrate ladders, per-title encoding approaches encode each segment at various bitrates and …
- 230000001537 neural 0 title abstract description 9
Classifications
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- H04N21/00—Selective content distribution, e.g. interactive television, VOD [Video On Demand]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of content streams, manipulating MPEG-4 scene graphs
- H04N21/2343—Processing of video elementary streams, e.g. splicing of content streams, manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
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- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
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- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
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