Paper Title

Improving compression ratio using lossy technique for video sequences

Article Identifiers

Registration ID: IJNRD_170051

Published ID: JETIR2005166

DOI: Click Here to Get

Authors

Poonam Modi , Debalina Nandy

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.

How To Cite

"Improving compression ratio using lossy technique for video sequences", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.6, Issue 6, page no.00, August-2021, Available :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: 000121167

Research Area: Engineering

Country: rajkot-360007, gujarat, India

Published Paper PDF: https://ijnrd.org/papers/JETIR2005166.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=JETIR2005166

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

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