TY - GEN
T1 - Complexity-aware adaptive bit-rate control with dynamic ROI pre-processing for scalable video coding
AU - Grois, Dan
AU - Hadar, Ofer
PY - 2011/11/7
Y1 - 2011/11/7
N2 - We present a novel efficient complexity-aware adaptive bitrate control with dynamic Region-of-Interest pre-processing (pre-filtering) for the Scalable Video Coding (SVC), which is an extension of H.264/AVC. According to the proposed approach, we adaptively vary various parameters of the SVC pre-filters, such as standard deviations and a number of filters for the dynamic pre-processing of a transition region between the ROI and background, thereby enabling to dynamically adjust the desired SVC settings. Our adaptive bit-rate control is based on an SVC computational complexity-rate-distortion (C-R-D) analysis, thereby adding a complexity dimension to the conventional Region-of-Interest SVC rate-distortion analysis. As a result, the ROI SVC visual presentation quality is significantly improved, which can be especially useful for various resource-limited devices, such as mobile devices. The performance of the presented adaptive ROI SVC pre-processing scheme is evaluated and tested in detail, further comparing it to the Joint Scalable Video Model reference software (JSVM 9.19) and demonstrating significant improvements both in quality and bit-rate.
AB - We present a novel efficient complexity-aware adaptive bitrate control with dynamic Region-of-Interest pre-processing (pre-filtering) for the Scalable Video Coding (SVC), which is an extension of H.264/AVC. According to the proposed approach, we adaptively vary various parameters of the SVC pre-filters, such as standard deviations and a number of filters for the dynamic pre-processing of a transition region between the ROI and background, thereby enabling to dynamically adjust the desired SVC settings. Our adaptive bit-rate control is based on an SVC computational complexity-rate-distortion (C-R-D) analysis, thereby adding a complexity dimension to the conventional Region-of-Interest SVC rate-distortion analysis. As a result, the ROI SVC visual presentation quality is significantly improved, which can be especially useful for various resource-limited devices, such as mobile devices. The performance of the presented adaptive ROI SVC pre-processing scheme is evaluated and tested in detail, further comparing it to the Joint Scalable Video Model reference software (JSVM 9.19) and demonstrating significant improvements both in quality and bit-rate.
KW - H.264/AVC
KW - Regions-of-interest scalability
KW - Regions-of-interest video coding
KW - Scalable Video Coding
KW - bit-rate control
KW - high-quality visual presentation
KW - image/video coding
KW - pre-processing/pre-filtering
UR - http://www.scopus.com/inward/record.url?scp=80155158950&partnerID=8YFLogxK
U2 - 10.1109/ICME.2011.6012110
DO - 10.1109/ICME.2011.6012110
M3 - Conference contribution
AN - SCOPUS:80155158950
SN - 9781612843490
T3 - Proceedings - IEEE International Conference on Multimedia and Expo
BT - Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011
T2 - 2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011
Y2 - 11 July 2011 through 15 July 2011
ER -