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Region-of-Interest Processing and Coding Techniques: Overview of Recent Trends and Directions

Region-of-Interest Processing and Coding Techniques: Overview of Recent Trends and Directions

Dan Grois, Ofer Hadar
Copyright: © 2013 |Pages: 30
ISBN13: 9781466628335|ISBN10: 1466628332|EISBN13: 9781466628342
DOI: 10.4018/978-1-4666-2833-5.ch006
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MLA

Grois, Dan, and Ofer Hadar. "Region-of-Interest Processing and Coding Techniques: Overview of Recent Trends and Directions." Intelligent Multimedia Technologies for Networking Applications: Techniques and Tools, edited by Dimitris Kanellopoulos, IGI Global, 2013, pp. 126-155. https://doi.org/10.4018/978-1-4666-2833-5.ch006

APA

Grois, D. & Hadar, O. (2013). Region-of-Interest Processing and Coding Techniques: Overview of Recent Trends and Directions. In D. Kanellopoulos (Ed.), Intelligent Multimedia Technologies for Networking Applications: Techniques and Tools (pp. 126-155). IGI Global. https://doi.org/10.4018/978-1-4666-2833-5.ch006

Chicago

Grois, Dan, and Ofer Hadar. "Region-of-Interest Processing and Coding Techniques: Overview of Recent Trends and Directions." In Intelligent Multimedia Technologies for Networking Applications: Techniques and Tools, edited by Dimitris Kanellopoulos, 126-155. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2833-5.ch006

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Abstract

This chapter comprehensively covers the topic of the Region-of-Interest (ROI) processing and coding for multimedia applications. The variety of end-user devices with different capabilities, ranging from cell phones with small screens and restricted processing power to high-end PCs with high-definition displays, have stimulated significant interest in effective technologies for video adaptation. Therefore, the authors make a special emphasis on the ROI processing and coding with regard to the relatively new H.264/SVC (Scalable Video Coding) standard, which have introduced various scalability domains, such as spatial, temporal, and fidelity (SNR/quality) domains. The authors’ observations and conclusions are supported by a variety of experimental results, which are compared to the conventional Joint Scalable Video Model (JSVM).

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