INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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)
Video Compression is the process of representing the original video in a compressed way by minimizing the number of bits than it originally has. Video compression has been extensively used to reduce the data redundancy by preserving the required information. There has been an increasing demand for digital video technology in various fields of telecommunication, entertainment, medicine etc. and hence the need for Video Compression[2].In this paper five lossy technique GPU based real time video compression, Hybrid Hierarchical Search Motion Estimation technique,edges based intra prediction in HEVC[1][2][5] and transform coded pel recursive and an enhanced macro block classification[3][4] techniques have been used to compress the video.
Keywords:
video compression ,motion estimation ,prediction ,macro block classification
Cite Article:
"A Survey:Various Techniques of lossy Video Compression", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.2, Issue 4, page no.60-63, April-2017, Available :http://www.ijnrd.org/papers/IJNRD1704016.pdf
Downloads:
000114577
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
Facebook Twitter Instagram LinkedIn