Survey on Compressed-Domain Features used in Video/Audio Indexing and Analysis
نویسندگان
چکیده
This paper gives an overview of state of the art in algorithms and tools using video and audio features. In particular, we extensively survey the features that can be efficiently extracted from compressed video and audio, which include visual, motion, coding, and audio features. We also discuss typical applications of these compressed-domain features in video and audio indexing and analysis. Finally, we give a summary of important visual and audio descriptors in the current MPEG-7 standard draft, and discuss the possibility of extracting these descriptors directly from compressed video and audio.
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