Low complexity dynamic region and translational motion estimation for video indexing
نویسندگان
چکیده
A new low complexity approach to motion estimation for video indexing is proposed in this paper. The fast polynomial regression transform (FPRT) is utilized to provide the e cient storage layout model and e ective video database for manipulating the multimedia information system. The video content information of video image is compressed by FPRT. Global Translational motion vectors and location of dynamic regions are computed from the compressed data. Our experiments show that this approach is very e cient for fast motion based video indexing.
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تاریخ انتشار 1998