Discrete cosine transform filtering
Signal Processing
Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
Digital Signal Processing for Multimedia Systems
Digital Signal Processing for Multimedia Systems
Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation
Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation
Algorithms for Manipulating Compressed Images
IEEE Computer Graphics and Applications
Fast Algorithms for the 2-D Discrete Cosine Transform
IEEE Transactions on Computers
The spatial relationship of DCT coefficients between a block andits sub-blocks
IEEE Transactions on Signal Processing
Manipulation and compositing of MC-DCT compressed video
IEEE Journal on Selected Areas in Communications
The quantized DCT and its application to DCT-based video coding
IEEE Transactions on Image Processing
Modeling DCT coefficients for fast video encoding
IEEE Transactions on Circuits and Systems for Video Technology
Low-complexity transform and quantization in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Scalable variable complexity approximate forward DCT
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we present an effective DCT-domain video encoder architecture that decreases the computational complexity of conventional hybrid video encoders by reducing the number of transform operations between the pixel and the DCT domains. The fixed video encoder architecture (such as a fixed DCT block of 8聽脳聽8 size) and a huge number of DCT/IDCT transforms performed during the video encoding process limit the minimum possible computational load of conventional video encoders. In this study, we solve this problem by developing a flexible video encoder architecture, which reduces video encoder computational complexity by performing low-resolution coarse-step motion estimation operations in the DCT domain. When a high level of motion activity is detected, the video encoder slightly increases the computational complexity of the motion estimation operation by computing fine-search block matching for a small-size search window in a reference frame. The proposed DCT-domain video encoder architecture is based on the conventional hybrid coder and on a set of fast integer composition and decomposition DCT transforms. The set of transforms implements a technique for estimation of DCT coefficients of a block that is partitioned by the sub-blocks. Experimental results of this method were compared with the results of the conventional hybrid coder in terms of PSNR quality and computational complexity. This comparison shows that the computational complexity of the proposed encoder is lower by 26.8% with respect to the conventional hybrid video coder for the same objective PSNR quality.