Title :
A Fully Scalable Motion Model for Scalable Video Coding
Author :
Kao, Meng-Ping ; Nguyen, Truong
Author_Institution :
Univ. of California, San Diego
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
Motion information scalability is an important requirement for a fully scalable video codec, especially in low bit rate or small resolution decoding scenarios. So far, several layered coding and motion vector precision scalability approaches have been proposed. However, it is still vague on the required functionalities of a fully scalable motion model and how it interacts with other scalabilities, such as spatial, temporal and quality, in a scalable video codec. In this paper, we first define the functionalities required by a fully scalable motion model. Based on these requirements, a fully scalable motion model will be proposed and, moreover, the associated rate distortion optimized estimation techniques will also be provided as a companion. Several simulation results will be presented to summarize the advantages of proposed motion model.
Keywords :
motion estimation; rate distortion theory; video codecs; video coding; motion vector precision scalability; rate distortion optimized estimation techniques; scalable motion model; scalable video coding; video codec; Bit rate; Decoding; Displays; Motion estimation; Rate-distortion; Scalability; Spatial resolution; Static VAr compensators; Video codecs; Video coding; Rate distortion optimization (RDO) motion estimation (ME); scalable motion model; scalable video coding (SVC);
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379155