IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Test Zone Search Optimization Using Cuckoo Search Algorithm for VVC

Test Zone Search Optimization Using Cuckoo Search Algorithm for VVC
View Sample PDF
Author(s): Suvojit Acharjee (Jadavpur University, India)and Sheli Sinha Chaudhuri (Jadavpur University, India)
Copyright: 2022
Volume: 13
Issue: 1
Pages: 16
Source title: International Journal of Multimedia Data Engineering and Management (IJMDEM)
Editor(s)-in-Chief: Chengcui Zhang (University of Alabama at Birmingham, USA)and Shu-Ching Chen (University of Missouri-Kansas City, United States)
DOI: 10.4018/IJMDEM.314574

Purchase

View Test Zone Search Optimization Using Cuckoo Search Algorithm for VVC on the publisher's website for pricing and purchasing information.

Abstract

Motion vector approximation is an integral part of every video coding standard to reduce temporal correlation. Estimating motion necessitates a lot of computation. Several attempts were made to reduce the computation cost in exhaustive search of motion estimation. Test zone search was accepted as benchmark algorithm for fast motion estimation by the most recent video coding standard, versatile video coding. Quality and speed of test zone search completely depends on two parameters (i.e., sub sampling frequency of search space during raster scan and dimension of the search space). Cuckoo search, one of the popular nature-inspired optimization algorithms, is used to optimize the operational parameters of test zone search. The proposed optimization enhanced the speed up to 50% while maintaining or improving the Bjontegaard rate (BD-Rate) and Bjontegaard PSNR (BDSNR).

Related Content

Yasasi Abeysinghe, Bhanuka Mahanama, Gavindya Jayawardena, Yasith Jayawardana, Mohan Sunkara, Andrew T. Duchowski, Vikas Ashok, Sampath Jayarathna. © 2024. 20 pages.
Chengxuan Huang, Evan Brock, Dalei Wu, Yu Liang. © 2023. 23 pages.
Duleep Rathgamage Don, Jonathan Boardman, Sudhashree Sayenju, Ramazan Aygun, Yifan Zhang, Bill Franks, Sereres Johnston, George Lee, Dan Sullivan, Girish Modgil. © 2023. 17 pages.
Wei-An Teng, Su-Ling Yeh, Homer H. Chen. © 2023. 17 pages.
Hemanth Gudaparthi, Prudhviraj Naidu, Nan Niu. © 2022. 20 pages.
Anchen Sun, Yudong Tao, Mei-Ling Shyu, Angela Blizzard, William Andrew Rothenberg, Dainelys Garcia, Jason F. Jent. © 2022. 19 pages.
Suvojit Acharjee, Sheli Sinha Chaudhuri. © 2022. 16 pages.
Body Bottom