Object Based Real Time Lossless Video Compression – A REVIEW
Preeti Markan1, Balwinder Singh2

1Krutika A. Veerapur, PG
Manuscript received on 18 August 2012 | Revised Manuscript received on 25 August 2012 | Manuscript published on 30 August 2012 | PP: 128-130 | Volume-1 Issue-3, August 2012 | Retrieval Number: C0299071312/2012©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: This paper describes video compression in real time. The aim is to achieve higher compression ratio in lossless compression. Efficient compression is achieved by separating the moving objects from stationary background and compactly representing their shape, motion, and the content. Video compression techniques are used to make efficient use of the available bandwidth. Lossless means that the output from the decompressor is bit-for-bit identical with the original input to the compressor. The decompressed video should be completely identical to original. In addition to providing improved coding efficiency in real time the technique provides the ability to selectively encode, decode, and manipulate individual objects in a video stream. The technique used results in video coding that a high compression ratio can be obtained without any loss in data in real time.
Keywords: Compression Ratio, Motion Detection, Video Compression.

Scope of the Article: Real Time Lossless