An ROI/xROI Based Rate Control Algorithm in H.264|AVC for Video Telephony Applications
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
IEEE Transactions on Multimedia
Region-of-interest based dynamical parameter allocation for H.264/AVC encoder
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
A ROI quality adjustable rate control scheme for low bitrate video coding
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Depth-Spatio-Temporal Joint Region-of-Interest Extraction and Tracking for 3D Video
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
Depth perceptual region-of-interest based multiview video coding
Journal of Visual Communication and Image Representation
Perceptually-friendly H.264/AVC video coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A joint watermarking and ROI coding scheme for annotating traffic surveillance videos
EURASIP Journal on Advances in Signal Processing
Visual attention guided bit allocation in video compression
Image and Vision Computing
ESVD: an integrated energy scalable framework for low-power video decoding systems
EURASIP Journal on Wireless Communications and Networking - Special issue on multimedia communications over next generation wireless networks
Arbitrary ROI-based wavelet video coding
Neurocomputing
A novel rate control algorithm for H.264/AVC based on human visual system
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part II
ROI-based Video Quality Assessment and Regulation for Mobile Videoconferencing
Proceedings of Workshop on Mobile Video Delivery
Hi-index | 0.00 |
Due to the complexity of H.264/AVC, it is very challenging to apply this standard to design a conversational video communication system. This problem is addressed in this paper by using region-of-interest (ROI) based bit allocation and computational power allocation schemes. In our system, the ROI is first detected by using the direct frame difference and skin-tone information. Several coding parameters including quantization parameter, candidates for mode decision, the number of referencing frames, accuracy of motion vectors and the search range of motion estimation are adaptively adjusted at the macroblock (MB) level according to the relative importance of each MB. Subsequently, the encoder could allocate more resources such as bits and computational power to the ROI, and the decoding complexity is also optimized at the encoder side by utilizing an ROI based rate-distortion-complexity (R-D-C) cost function. The encoder is thus simplified and decoding-friendly, and the overall subjective visual quality can also be improved.