An object-based video coding framework for video sequences obtained from static cameras
Proceedings of the 13th annual ACM international conference on Multimedia
Hybrid video coding based on bidimensional matching pursuit
EURASIP Journal on Applied Signal Processing
Low-rate and flexible image coding with redundant representations
IEEE Transactions on Image Processing
A zerotree wavelet video coder
IEEE Transactions on Circuits and Systems for Video Technology
Very low bit-rate video coding based on matching pursuits
IEEE Transactions on Circuits and Systems for Video Technology
Matching pursuit video coding .I. Dictionary approximation
IEEE Transactions on Circuits and Systems for Video Technology
Fast matching pursuit with vector norm comparison
IEEE Transactions on Circuits and Systems for Video Technology
Dictionary design for matching pursuit and application to motion-compensated video coding
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a novel hybrid video coding framework by perceptual representation and macroblock-based matching pursuit algorithm (PRMBMP), which uses a set of filters to extract the perceptual parts of each video frame. The original video frame is separated into low-frequency image and high-frequency image. The low-frequency image has low sensitivity to human perception and few complex texture details, which can be handled efficiently by traditional H.264 video coding. The high-frequency image is the perceptual representation, which includes more texture details and edges. The proposed macroblock-based matching pursuit algorithm is used to compress the high-frequency image, which speeds up the conventional matching pursuit algorithm efficiently by estimating the local optimization. The experiments show that the proposed framework can achieve 2 to 3 dB improvements compared with the conventional H.264 video coding framework. The proposed framework also has the definition scalability, which can be widely used in bandwidth-variation video applications.