A study of efficient Block Matching Algorithms for real-time video compression applications

Author

Ashok, Nayak B. ; Nagabhooshnam, E.

Author_Institution

Osmania Univ.-Hyd., Hyderabad, India

fYear

2014

fDate

13-14 Feb. 2014

Firstpage

1

Lastpage

5

Abstract

Video compression is essential before transmitting or storing video data. A video encoder utilizes the redundancies in the raw data to produce a compressed output. Two types of redundancies are used in this respect. One is spatial redundancy and the other one is temporal redundancy. An encoder exploits both redundancies during compression. In a video frame, neighboring pixels usually have similar color information. This is called spatial redundancy. In a video frame, adjacent frames are highly correlated. This type of redundancy is called temporal redundancy. Discrete Cosine Transformation (DCT) is applied on video data to remove spatial redundancy.

Keywords

data compression; discrete cosine transforms; image colour analysis; video coding; DCT; block matching algorithms; color information; discrete cosine transformation; real-time video compression; spatial redundancy; temporal redundancy; video data; video encoder; video frame; Abstracts; Algorithm design and analysis; Diamonds; Educational institutions; Ferroelectric films; PSNR; Random access memory; 4SS; ARPS; Block Matching Algorithms; DCT; DS; ES; IDSP; Motion Estimation; NTSS; SES; TSS; Video Codec; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Communication Systems (ICECS), 2014 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-2321-2

Type

conf

DOI

10.1109/ECS.2014.6892765

Filename

6892765