DocumentCode :
2429782
Title :
Analysis of Video Compression Algorithms on Different Video Files
Author :
Mozammil ; Zakariya, S.M. ; Inamullah, M.
Author_Institution :
Dept. of Comput. Eng., AMU, Aligarh, India
fYear :
2012
fDate :
3-5 Nov. 2012
Firstpage :
257
Lastpage :
262
Abstract :
The digital video application has become increasingly popular in mobile terminals such as cellular phones and personal digital assistance. However, due to its inherent data intensity of video sequences, storing and transmitting raw video data become impractical. With the limited storage and bandwidth capacity, this data must be compressed to a transportable size and finally decompressed to reach the destination. For this purpose, we studied and implemented two well known video compression and decompression algorithms i.e. Run Length Encoding (RLE) and Arithmetic Coding (AC). The main advantage of these compression techniques is that it almost compresses and decompresses all types of video files. In this work, we computed the compression rate on different video files by applying both algorithms. Experimentally, we find that AC algorithm compressed better in almost all types of video files except DAT type video file, and we also find that the compression rate of DAT file is highest and RLE performed better in it.
Keywords :
arithmetic codes; data compression; image sequences; runlength codes; video coding; arithmetic coding; cellular phone; data intensity; digital video application; mobile terminal; personal digital assistance; run length encoding; video compression algorithm; video decompression algorithm; video sequence; Channel coding; Decoding; Discrete cosine transforms; Image coding; Video compression; Arithmetic Encoding; Block Transformation; Run Length Encoding; Video Compression; video files;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-2981-1
Type :
conf
DOI :
10.1109/CICN.2012.49
Filename :
6375112
Link To Document :
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