Region-of-Interest Video Compression with a Composite and a Long-Term Frame

نویسندگان

  • Athanasios Leontaris
  • Pamela C. Cosman
چکیده

Multiple frame prediction has proved successful in increasing the performance of motion compensated video coders. Region-of-interest (ROI) coding in conjunction with a dual frame predictor can lead to interesting design choices on how to allocate the available bitrate among the frame regions. In this work, we tackle the problem of applying ROI coding on aerial imagery and then on standard videoconferencing sequences. For the latter, we introduce a novel composite frame scheme that takes advantage of the flexibility offered by the dual frame predictor that captures motion history from the short term past. Experimental results show that we can achieve significant bit rate and computational complexity savings for packet loss scenarios.

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تاریخ انتشار 2004