An Adaptive Video Compression Technique for Resource Constraint Systems
Shreelekshmi R1, Sruthi S2
1Dr. Shreelekshmi R, Department of Computer Science, LBS Institute of Technology for Women, Poojappura (Kerala), India.
2Sruthi S, Department of Computer Science, LBS Institute of Technology for Women, Poojappura (Kerala), India.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 292-299 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4247084615/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As display devices become more and more vivid, and people demand more perfection in video quality, it is necessary to maintain the natural colors, which is in RGB domain. Because of its huge size, managing videos in RGB color space is not practical. Recent years witnessed a rapid evolution in the area of Video Compression Technology. Most of them use complex algorithms to handle Temporal Redundancy and as a result they are very time consuming. Accordingly, there is a high demand for less complex video compression techniques for handling RGB videos. This paper presents a new RGB video compression technique developed with less time complexity while ensuring an acceptable level of perceptual quality and bandwidth requirements. The proposed system performs Intra-Frame compression for removing Spatial Redundancy followed by Run-Length Encoding and an additional level of bit reduction on the resultant data. This system needs very less processing time, due to the simplicity of techniques used. As compared to the latest and most efficient compression standard HEVC, the proposed system takes much less time for its execution.
Keywords: Bit-Plane Slicing, Bit-Plane Reduction, Run-Length Encoding
Scope of the Article: Signal and Speech Processing