Title :
Power-rate-distortion model for low-complexity video coding
Author :
Kang, Li-Wei ; Lu, Chun-Shien
Author_Institution :
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
Abstract :
Wireless visual sensor networks are potentially applicable for several emerging applications. Since the resource-limited restriction for a visual sensor node (VSN), efficient resource allocation for video compression is challenging. In this paper, a power-rate-distortion (PRD) model-based low-complexity multiview video codec is proposed. Our PRD model is used to characterize the relationship between the available resources and the RD performance of our video codec. More specifically, an RD function in terms of the percentages for different coding modes of blocks and the target bit rate under the available resource constraints is derived for optimal coding mode decision. Analytic and simulation results are provided to verify the resource scalability and accuracy of our PRD model in facilitating our low-complexity multiview video codec to achieve good performance.
Keywords :
data compression; resource allocation; video codecs; video coding; wireless sensor networks; low-complexity multiview video codec; low-complexity video coding; optimal coding mode decision; power-rate-distortion model; resource allocation; video compression; visual sensor node; wireless visual sensor networks; Analytical models; Bit rate; Performance analysis; Resource management; Scalability; Sensor phenomena and characterization; Video codecs; Video coding; Video compression; Wireless sensor networks; Low-complexity video coding; power-ratedistortion optimization; wireless visual sensor networks;
Conference_Titel :
Picture Coding Symposium, 2009. PCS 2009
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4593-6
Electronic_ISBN :
978-1-4244-4594-3
DOI :
10.1109/PCS.2009.5167367