Fuzzy Logic Based Four Step Search Algorithm for Motion Vector Estimation
Автор: Suvojit Acharjee, Sheli Sinha Chaudhuri
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 4 vol.4, 2012 года.
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Visual information is very much important for human to perceive, recognize and understand the surrounding world. As we live in the age of multimedia video sequences are very useful to us for providing information. Video involves a huge amount of data. So video compression is necessary Motion compensation has lot of computation in total video compression process. Fast motion vector estimation is a key-factor in video coding standard. Full search algorithm is the best algorithm between all the block matching algorithms to estimate the motion vector estimation with a huge computation cost. The challenge is to reduce the computational complexity of Full Search algorithm without losing too much quality at the output. In this paper we propose to implement the fuzzy logic based Four Step Search algorithm which performs better than other block matching algorithms.
Four Step Search, Fuzzy logic based Four Step Search, Motion vector Estimation with Fuzzy, Fuzzy Block Matching Algorithm
Короткий адрес: https://sciup.org/15012293
IDR: 15012293
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