Reconfigurable computing: a survey of systems and software
ACM Computing Surveys (CSUR)
Fast Haar Transform Algorithms
IEEE Transactions on Computers
A generalized Lloyd-type algorithm for adaptive transform coder design
IEEE Transactions on Signal Processing
Fast Mode Prediction for the Baseline and Main Profiles in the H.264 Video Coding Standard
IEEE Transactions on Multimedia
Suboptimality of the Karhunen-Loeve transform for transform coding
IEEE Transactions on Information Theory
An overview of configurable computing machines for software radio handsets
IEEE Communications Magazine
The H.264/MPEG4 advanced video coding standard and its applications
IEEE Communications Magazine
Optimally adaptive transform coding
IEEE Transactions on Image Processing
A hybrid DCT-SVD image-coding algorithm
IEEE Transactions on Circuits and Systems for Video Technology
Low-complexity skip prediction for H.264 through Lagrangian cost estimation
IEEE Transactions on Circuits and Systems for Video Technology
Analysis and complexity reduction of multiple reference frames motion estimation in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Efficient prediction algorithm of integer DCT coefficients for H.264/AVC optimization
IEEE Transactions on Circuits and Systems for Video Technology
Fast Coding Mode Selection With Rate-Distortion Optimization for MPEG-4 Part-10 AVC/H.264
IEEE Transactions on Circuits and Systems for Video Technology
Dynamically reconfigurable entropy coder for multi-standard video adaptation using FaRM
Microprocessors & Microsystems
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The long timescale between the development of new technologies for video coding and their adoption into standards results in a slow improvement in compression efficiency despite the scale of ongoing research into new compression techniques. Standards-based codecs have limited capabilities to adapt to changes in video content, delivery environments, or platforms. There is a growing recognition, for example, with the MPEG Reconfigurable Video Coding initiative, that increased codec flexibility is needed. However, we anticipate that even further developments are required to address these stumbling blocks to video coder advancement. To this end, we present a new approach to video coding which enables flexible and dynamic re-configuration of video coding functions. This adaptability is achieved by sending configuration information to the decoder during a communications session as part of the compressed video signal. The decoder responds to this information by reconfiguring itself to adapt the video decoding process as prompted by the encoder. In this paper we describe a particular example of how dynamic re-configuration may be implemented in a simple video coding scenario, namely, a video coder is reconfigured dynamically by sending descriptions of new transforms during coding. We evaluate five approaches to re-configuration and show that all demonstrate rate-distortion gains over baseline coders, despite the rate increase due to sending configuration information.