Optimal bit allocation for biorthogonal wavelet coding
DCC '96 Proceedings of the Conference on Data Compression
Zerotree Coding of Wavelet Coefficients for Image Data on Arbitrarily Shaped Support
DCC '99 Proceedings of the Conference on Data Compression
Region of interest extraction and virtual camera control based on panoramic video capturing
IEEE Transactions on Multimedia
High performance scalable image compression with EBCOT
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
Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding
IEEE Transactions on Circuits and Systems for Video Technology
3-D wavelet coding of video with arbitrary regions of support
IEEE Transactions on Circuits and Systems for Video Technology
Highly scalable, low-complexity image coding using zeroblocks of wavelet coefficients
IEEE Transactions on Circuits and Systems for Video Technology
JPEG2000 coding techniques addressed to images containing no-data regions
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
| Hi-index | 0.00 |
Object-based image coding is drawing a great attention for the many opportunities it offers to high-level applications. In terms of rate-distortion performance, however, its value is still uncertain, because the gains provided by an accurate image segmentation are balanced by the inefficiency of coding objects of arbitrary shape, with losses that depend on both the coding scheme and the object geometry. This work aims at measuring rate-distortion costs and gains for a wavelet-based shape-adaptive encoder similar to the shape-adaptive texture coder adopted in MPEG-4. The analysis of the rate-distortion curves obtained in several experiments provides insight about what performance gains and losses can be expected in various operative conditions and shows the potential of such an approach for image coding.