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A Motion Vector Re-Estimation Algorithm for Image Downscaling in Discrete Cosine Transform Domain  

Kim, Woong-Hee (National Security Research Institute, ETRI)
Oh, Seung-Kyun (Department of Electrical Engineering and Computer Science, Division of Electrical Engineering, Korea Advanced Institute of Science and Technology)
Park, Hyun-Wook (Department of Electrical Engineering and Computer Science, Division of Electrical Engineering, Korea Advanced Institute of Science and Technology)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.39, no.5, 2002 , pp. 494-503 More about this Journal
Abstract
A motion vector re-estimation algorithm for image downscaling in discrete consine transform domain is presented. Kernel functions are difined using SAD (Aum of Absolute Difference) and edge information of a macroblock. The proposed method uses these kernel functions to re-estimate a new motion vector of the downscaled image. The motion vectors from the incoming bitstream of transcoder are reused to reduce computation burden of the block-matching motion estimation, and we also reuse the given motion vectors. Several experiments in this paper show that the computation efficiency and the PSNR (Peak Signal to Noise Ratio) and better than the previous methods.
Keywords
Transcoding; Motion vector; Motion re-estimation; Discrete Cosine Transform; Image resizing;
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