A local search approximation algorithm for k-means clustering
Proceedings of the eighteenth annual symposium on Computational geometry
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Complexity management for video encoders
Proceedings of the tenth ACM international conference on Multimedia
A Complexity-Aware Live Streaming System with Bit Rate Adjustment
ISM '05 Proceedings of the Seventh IEEE International Symposium on Multimedia
Rate-distortion-complexity modeling for network and receiver aware adaptation
IEEE Transactions on Multimedia
One-pass computation-aware motion estimation with adaptive search strategy
IEEE Transactions on Multimedia
A new rate control scheme using quadratic rate distortion model
IEEE Transactions on Circuits and Systems for Video Technology
Rate control in DCT video coding for low-delay communications
IEEE Transactions on Circuits and Systems for Video Technology
A unified rate-distortion analysis framework for transform coding
IEEE Transactions on Circuits and Systems for Video Technology
A linear source model and a unified rate control algorithm for DCT video coding
IEEE Transactions on Circuits and Systems for Video Technology
Computation-aware scheme for software-based block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Power-rate-distortion analysis for wireless video communication under energy constraints
IEEE Transactions on Circuits and Systems for Video Technology
Efficient Constrained Video Coding for Low Complexity Decoding
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
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The paradigm shift of network design from performance-centric to constraint-centric has called for new signal processing techniques to deal with various aspects of resource-constrained communication and networking. In this paper, we consider the computational constraints of a multimedia communication systemand propose a video adaptation mechanism for live video streaming of multiple channels. The video adaptation mechanism includes three salient features. First, it adjusts the computational resource of the streaming server block by block to provide a fine control of the encoding complexity. Second, as far as we know, it is the first mechanism to allocate the computational resource to multiple channels. Third, it utilizes a complexity-distortion model to determine the optimal coding parameter values to achieve global optimization. These techniques constitute the basic building blocks for a successful application of wireless and Internet video to digital home, surveillance, IPTV, and online games.