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Sowmyayani, S.
- Adaptive GOP Structure to H.264/AVC Based on Scene Change
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Authors
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1 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, IN
1 Department of Computer Science and Engineering, Manonmaniam Sundaranar University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 5, No 1 (2014), Pagination: 868-872Abstract
This paper proposes an adaptive GOP structure with the new logic of frame comparison in H.264/AVC to achieve better quality and reduce bit rate. Initially Group of Pictures (GOP) is set to a fixed size. Frames are compared within that GOP using correlation. According to the correlation, GOP is changed within that fixed size. So, there will be no GOP size greater than that fixed size. This method does not calculate any threshold. Hence the time needed to calculate global or local threshold is eliminated. It is integrated with conventional video codec H.264/AVC. This method is compared with H.264/AVC of fixed GOP structure of sizes 4, 8, 12, 16, 32 and GOP structure with the length of entire video. The proposed method achieved gain in bit rate from 0.49% to 69.75% and PSNR gain from 2.5% to 0.3%.Keywords
H.264/AVC, GOP, Correlation.
- Temporal Redundancy Reduction in Wavelet Based Video Compression for High Definition Videos
Abstract Views :175 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Science, Kristu Jayanti College, IN
2 Department of Computer Science and Engineering, Manonmanian Sundaranar University, IN
1 Department of Computer Science, Kristu Jayanti College, IN
2 Department of Computer Science and Engineering, Manonmanian Sundaranar University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 9, No 2 (2018), Pagination: 1861-1866Abstract
Data Storage and Communication plays a significant role in every human. Digital images and videos are stored in mobile and other storage devices. More specifically, video data requires huge amount of storage space for which the storage devices are more expensive. Hence there is a necessity of reducing the storage space of the data. Video compression is more common in all researches. In this work, the role of wavelets in video compression is studied. The temporal redundant data are converted to spatial data which are then transformed to wavelet coefficients. The low frequency components are removed from these wavelet coefficients. The proposed method is tested with some video sequences. The performance of the proposed method is analyzed by comparing it with the existing recent methods and with the state-of-art H.265 video coding standard. The experimental results substantially proved that the proposed method achieves 3.8dB higher PSNR than H.265 and 1.6dB higher PSNR than recent wavelet based video codecs.Keywords
H264/AVC, Temporal Redundancy, Spatial Redundancy, High Definition Videos, Wavelet Transform.References
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