Title :
Design and implementation of algorithm for video compression
Author :
Gaoture, Megha S. ; Nagrare, Trupti H.
Author_Institution :
Dept. of Electron. Eng., G.H.R.C.E., Nagpur, India
Abstract :
Nowadays, Video Compression has gaining important because of its application in different field like internet. So, there is different algorithm used to achieve the compression of Video. Video Compression algorithms combine Spatial image compression and Temporal motion compression. The sequence of frames contains Spatial and Temporal redundancies that Video Compression algorithms attempt to eliminate or code in smaller size. In this paper, We present a design of Binary motion vector technique with Pruning Discrete Wavelet Transform for the compression of AVI video. Here, Binary motion vector technique used for searching the Best matching block. This technique requires less candidates block than other motion vector technique. Pruning based DWT uses thresholding which will enhance the compression ratio with desirable Peak Signal to Noise ratio. This algorithm will be going to simulate on XilinxISE13.1 and implement on SPARTEN3 FPGA.
Keywords :
data compression; discrete wavelet transforms; image matching; image motion analysis; image sequences; redundancy; video coding; AVI video compression algorithms; DWT; Internet; SPARTEN3 FPGA; XilinxISE13.1; best matching block; binary motion vector technique; compression ratio; frame sequence; peak signal to noise ratio; pruning discrete wavelet transform; spatial image compression; spatial redundancy; temporal motion compression; temporal redundancy; Algorithm design and analysis; Discrete wavelet transforms; Image coding; Motion estimation; Vectors; Video compression; AVI; Binary motion vector technique; FPGA; Pruning DWT; Video compression;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3835-3
DOI :
10.1109/ICICES.2014.7034120