Paper Title
Improving compression ratio using lossy technique for video sequences
Article Identifiers
: Authors
Keywords
Compression, lossy, keyframe, fuzzy
Abstract
To store an uncompressed colour video, even the DVDs of 5 Gbytes are not capable of handling more than few minutes of video. Hence video compression has become very essential. There are two types of compression: lossy and lossless. Generally the video compression is lossy as it checks for areas of redundancy between the successive frames and saves only the differences between the frames. Although the modern video compression techniques are well advanced, video compression still uses the basic steps in image compression and principles such as motion estimation and compensation are implemented to achieve compression in the video. Color is the most dominant feature used by the human brain to perceive an image region to be salient. Since size, shape, location and colors of salient objects vary widely, a fuzzy rule based system is proposed in this research which uses color proximity, color spread, connected components and presence of a face as linguistic variables. These rules are learned using a genetic algorithm. The color space used is the CIELab color space which closely conforms to human perception of colors. With the help of fuzzy rules and clustering we will compress video.
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How To Cite (APA)
Poonam Modi & Debalina Nandy (August-2021). Improving compression ratio using lossy technique for video sequences. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 6(6), 00. https://ijnrd.org/papers/JETIR2005166.pdf
Issue
Volume 6 Issue 6, August-2021
Pages : 00
Other Publication Details
Paper Reg. ID: IJNRD_170051
Published Paper Id: JETIR2005166
Downloads: 000122012
Research Area: Engineering
Author Type: Indian Author
Country: rajkot-360007, gujarat, India
Published Paper PDF: https://ijnrd.org/papers/JETIR2005166.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=JETIR2005166
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