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Vidyavathi, K.
- A Novel Approach for Video Motion Estimation Using Frames Difference within a Block
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By considering an additional set of predictors, improving the thresholding process, and simplifying the search pattern employed by these algorithms, we not only manage in achieving better output quality, but also reduce complexity of the motion estimation process even further. Our algorithm was compared with the algorithms accepted in the Optimization Model 1.0 of MPEG-4, and our simulations prove its outright superiority versus the existing algorithms.
In this paper, the estimation of total motion based on absolute differences between frames in a block of video, without respect to the direction of motion that causes differences.
Authors
Affiliations
1 Department of Electronics and Communication Engineering, King College of Technology, Nallur, Pudupatti (PO), Namakkal-637020, IN
2 Sona Signal and Image Processing (SONA-SIPRO) Laboratory, Sona College of Technology, Salem-636005, IN
1 Department of Electronics and Communication Engineering, King College of Technology, Nallur, Pudupatti (PO), Namakkal-637020, IN
2 Sona Signal and Image Processing (SONA-SIPRO) Laboratory, Sona College of Technology, Salem-636005, IN
Source
Digital Image Processing, Vol 4, No 9 (2012), Pagination: 479-482Abstract
Generally, the resolution of the TV image is increased for HDTV. In the present HDTV systems only the spatial resolution is increased, without simultaneously increasing the frame rate for improved temporal resolution. This can lead to disappointing results for TV applications, where movement is important. Therefore it is important to consider the motion effects of the HD video signals. The recent LCD panels suffered by the slow response and hold effect, which are the hidden limitations that will degrade the performance of the system.By considering an additional set of predictors, improving the thresholding process, and simplifying the search pattern employed by these algorithms, we not only manage in achieving better output quality, but also reduce complexity of the motion estimation process even further. Our algorithm was compared with the algorithms accepted in the Optimization Model 1.0 of MPEG-4, and our simulations prove its outright superiority versus the existing algorithms.
In this paper, the estimation of total motion based on absolute differences between frames in a block of video, without respect to the direction of motion that causes differences.