Parallel Fractal Compression Method for Big Video Data
Joint Authors
Bai, Weiling
Liu, Gaocheng
Li, Wenhui
Liu, Shuai
Srivástava, Hari Mohan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-03
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
With the development of technologies such as multimedia technology and information technology, a great deal of video data is generated every day.
However, storing and transmitting big video data requires a large quantity of storage space and network bandwidth because of its large scale.
Therefore, the compression method of big video data has become a challenging research topic at present.
Performance of existing content-based video sequence compression method is difficult to be effectively improved.
Therefore, in this paper, we present a fractal-based parallel compression method without content for big video data.
First of all, in order to reduce computational complexity, a video sequence is divided into several fragments according to the spatial and temporal similarity.
Secondly, domain and range blocks are classified based on the color similarity feature to reduce computational complexity in each video fragment.
Meanwhile, a fractal compression method is deployed in a SIMD parallel environment to reduce compression time and improve the compression ratio.
Finally, experimental results show that the proposed method not only improves the quality of the recovered image but also improves the compression speed by compared with existing compression algorithms.
American Psychological Association (APA)
Liu, Shuai& Bai, Weiling& Liu, Gaocheng& Li, Wenhui& Srivástava, Hari Mohan. 2018. Parallel Fractal Compression Method for Big Video Data. Complexity،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1133103
Modern Language Association (MLA)
Liu, Shuai…[et al.]. Parallel Fractal Compression Method for Big Video Data. Complexity No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1133103
American Medical Association (AMA)
Liu, Shuai& Bai, Weiling& Liu, Gaocheng& Li, Wenhui& Srivástava, Hari Mohan. Parallel Fractal Compression Method for Big Video Data. Complexity. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1133103
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133103