TY - GEN
T1 - Complexity-aware adaptive spatial pre-processing for ROI scalable video coding with dynamic transition region
AU - Grois, Dan
AU - Hadar, Ofer
PY - 2011/12/1
Y1 - 2011/12/1
N2 - We present a complexity-aware adaptive spatial preprocessing (pre-filtering) scheme for the efficient Region-of-Interest (ROI) Scalable Video Coding (SVC). According to the proposed approach, we adaptively vary various parameters of the SVC pre-filters, such as standard deviations, a number of filters for the dynamic pre-processing of a transition region between the ROI and background, etc., thereby enabling to dynamically adjust the desired SVC settings. In addition, our adaptive spatial pre-filtering system 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 R-D 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 spatial 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.
AB - We present a complexity-aware adaptive spatial preprocessing (pre-filtering) scheme for the efficient Region-of-Interest (ROI) Scalable Video Coding (SVC). According to the proposed approach, we adaptively vary various parameters of the SVC pre-filters, such as standard deviations, a number of filters for the dynamic pre-processing of a transition region between the ROI and background, etc., thereby enabling to dynamically adjust the desired SVC settings. In addition, our adaptive spatial pre-filtering system 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 R-D 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 spatial 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.
KW - H.264/AVC
KW - ROI scalability
KW - Regions-of-interest (ROI) video coding
KW - Scalable Video Coding (SVC)
KW - high-quality visual presentation
KW - image/video coding
KW - pre-processing/pre-filtering
UR - http://www.scopus.com/inward/record.url?scp=84856288420&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116661
DO - 10.1109/ICIP.2011.6116661
M3 - Conference contribution
AN - SCOPUS:84856288420
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 741
EP - 744
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -