Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
Visual sensitivity guided bit allocation for video coding
IEEE Transactions on Multimedia
Spatiotemporal Visual Considerations for Video Coding
IEEE Transactions on Multimedia
Embedded foveation image coding
IEEE Transactions on Image Processing
Foveation scalable video coding with automatic fixation selection
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Highly scalable video compression with scalable motion coding
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
A zerotree wavelet video coder
IEEE Transactions on Circuits and Systems for Video Technology
Low bit-rate scalable video coding with 3-D set partitioning in hierarchical trees (3-D SPIHT)
IEEE Transactions on Circuits and Systems for Video Technology
Memory-constrained 3D wavelet transform for video coding without boundary effects
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
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In recent years, Set Partitioning in Hierarchical Trees (SPIHT) algorithm has performed efficiently on image and video coding. However, in low bit rate situations, on the whole the videos usually have relatively low visual quality while attention is paid on the videos. To improve the problem, this paper proposes Attention Emphasis bit arrangement in 3-D SPIHT video coding algorithm (AE-SPIHT) to rearrange bits efficiently from eye-insensitive regions to eye-sensitive regions, so that the whole video can obtain a better visual condition. AE-SPIHT properly exploits a bit-arrangement method rearranging bits foveately from eye-insensitive regions, according to texture content and bit-rate, to eye-sensitive ones. Experiments show that AE-SPIHT algorithm improves the visual quality of attention regions in conventional 3-D SPIHT in most cases. Compared with other bit arrangement methods, the proposed method also achieves a better visual condition in arranging the bits.