Title :
Focus of attention (FOA) identification from compressed video for automatic target recognition (ATR)
Author :
Li, Jin ; Kim, Sungook ; Kuo, C. C Jay
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
We examine an approach to perform pattern recognition on compressed video such as MPEG data streams. The current effort has focused on the identification of the region of interest (ROI) which contains the target, which is also known as the focus of attention (FOA) module. Two techniques are studied, i.e. motion field analysis and DCT transform coefficient analysis. The performance of the proposed algorithms is demonstrated with experimental results
Keywords :
data compression; discrete cosine transforms; identification; image segmentation; motion estimation; pattern recognition; transform coding; video coding; DCT transform coefficient analysis; MPEG data streams; algorithms; automatic target recognition; compressed video; experimental results; focus of attention identification; focus of attention module; motion field analysis; pattern recognition; performance; region of interest; Algorithm design and analysis; Discrete cosine transforms; Focusing; Motion analysis; Pattern recognition; Pixel; Streaming media; Target recognition; Transform coding; Video compression;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537683
