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- W2119827331 abstract "Problem statement: Motion estimation and compensation is the most computationally complex module of video coder. In this study, an innovative algorithm was proposed for a further complexity reduction of the Motion Estimation (ME) module of video coder by employing motion detection prior to motion compensation. Approach: A Motion Detection (MD) module can be added to the video coder in order to decide whether the current block contains motion or is with zero motion. This study propounded a MD module that depends on motion activity. Generally, the correlation of the two consecutive frames is a good criterion to measure motion activity. We applied the correlation as a threshold to detect the motion activity. To assure the correct motion vector and thus better video quality, to calculate motion vector of motion blocks this study also proposed a new block matching motion estimation criterion based on the Radon transform using projection-matching method. However, computationally complex, the method had the ability to be implemented in real time by using pipeline architecture. Results: A comparative result showed that the MD module reduced the number of search points for motion estimation and compared with some well-known algorithm that uses minimum absolute difference criterion, the new criterion can provide much higher performance. Conclusion: The result showed that this proposed scheme can simplify the encoder complexity maintaining good video quality." @default.
- W2119827331 created "2016-06-24" @default.
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- W2119827331 date "2010-09-01" @default.
- W2119827331 modified "2023-10-18" @default.
- W2119827331 title "Motion Detection and Projection Based Block Motion Estimation Using the Radon Transform for Video Coding" @default.
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- W2119827331 doi "https://doi.org/10.3844/jcssp.2010.979.986" @default.
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