SPATIAL OBJECT DETECTION IN JPEG BITSTREAMS (WedPmOR3)
Author(s) :
Lei Zhou (New Mexico State University, USA)
Charles Creusere (New Mexico State University, USA)
Abstract : Because of the large amount of raw data involved, images are generally compressed before storage or transmission. If one were interested in detecting and localizing spatial ob-jects of interest, it would be considerably more efficient to do so in the compressed domain because less data would need to be processed and the computations required to de-code the image would be avoided. In this paper, we study detection and localization in the bitstream of JPEG-compressed imagery and compare these new results with our earlier work in which detection was performed in the DCT domain.

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