Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
Dynamic computational complexity and bit allocation for optimizing H.264/AVC video compression
Journal of Visual Communication and Image Representation
View synthesis prediction for multiview video coding
Image Communication
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Spatiotemporal video segmentation based on graphical models
IEEE Transactions on Image Processing
Disparity/segmentation analysis: matching with an adaptive window and depth-driven segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Focused object extraction with multiple cameras
IEEE Transactions on Circuits and Systems for Video Technology
Unsupervised extraction of visual attention objects in color images
IEEE Transactions on Circuits and Systems for Video Technology
Efficient Prediction Structures for Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Region-of-Interest Based Resource Allocation for Conversational Video Communication of H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Stereoscopic visual attention-based regional bit allocation optimization for multiview video coding
EURASIP Journal on Advances in Signal Processing
Hi-index | 0.00 |
MultiView Video (MVV) has attracted considerable attention recently since it is capable of providing users with three-dimensional perception and interactive functionalities. However, these MVV data require large mount of storage and bandwidth in network transmission. In this paper, we present a novel Depth Perceptual Region-Of-Interest (DP-ROI) based Multiview Video Coding (RMVC) scheme to extensively improve data compression efficiency by exploiting redundancies in depth perception. Firstly, we define DP-ROI according to the three-dimensional depth sensation of human visual system. Then, a framework of RMVC is developed to improve compression efficiency by properly segmenting the MVV into different macroblock wise DP-ROIs and encoding them separately. And then, we propose three fast depth based DP-ROI extraction and tracking algorithms by jointly using motion, texture, depth as well as previous extracted DP-ROIs. Finally, on the basis of the extracted DP-ROI, bit allocation optimization model is proposed to allocate more bits on DP-ROIs for high image quality and fewer bits on background regions for high compression ratio. Experimental results show that the presented RMVC scheme achieves significant coding gains at high rate while comparing with original joint multiview video model. To be specific, up to 14.22-23.32% bit-rate are saved while 0.16-0.68dB coding gains are achieved in DP-ROIs at the cost of the image quality degradation in background.