Compressed-Domain Content-Based Image and Video Retrieval

With more and more visual material produced and stored in visual information systems (VIS) (i.e., image databases or video servers), the need for efficient, effective methods for indexing, searching, and retrieving images and videos from large collections has become critical. Users of large VIS will desire a more powerful method for searching images than just traditional text-based query (e.g., keywords). Manual creation of keywords for a huge collection of visual materials is too time-consuming for many practical applications. Subjective descriptions based on users’ input will be neither consistent nor complete. Also, the vocabulary used in describing visual contents is usually domain specific.

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