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6 October 1997 Image and video indexing in the compressed domain
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Proceedings Volume 3229, Multimedia Storage and Archiving Systems II; (1997) https://doi.org/10.1117/12.290332
Event: Voice, Video, and Data Communications, 1997, Dallas, TX, United States
Abstract
Image and video indexing techniques are crucial in multimedia applications. A number of the indexing techniques which operate in the pixel domain have been reported in the literature. The advent of compression standards has led to the proliferation of indexing techniques in the compressed domain. In this paper, we present a critical review of the compressed domain indexing techniques proposed in the literature. These include transform domain techniques using Fourier transform, cosine transform, Karhunen-Loeve transform, subbands and wavelets; and spatial domain techniques using vector quantization. In addition, temporal indexing techniques using motion vectors are also discussed.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mrinal K. Mandal, Fayez M. Idris, and Sethuraman Panchanathan "Image and video indexing in the compressed domain", Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); https://doi.org/10.1117/12.290332
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