We address the problem of real-time mode decisions for enhance-ment layer coding in the context of fine granularity scalable cod-ing. While traditional mode selection strategies take into account the potential future drift stemming from coding the current frame with a particular enhancement layer coding mode, they usually fail to acknowledge the effect of past drift from previous partially re-constructed enhancement references. We introduce an optimal per-pixel drift estimation algorithm that calculates the effect of band-width variations and outages on the enhancement reference. Ex-perimental results show the algorithm’s advantages. 1
This paper proposes a complete scheme of a ratedistortion optimal progressive fine granularity scala...
The recent advances in non-scalable video encoding brought by the H.264/AVC standard offered signifi...
Efficient bit stream adaptation and resilience to packet losses are two critical requirements in sca...
This paper is concerned with performance optimization of point-to-point communication of scalable vi...
ABSTRACT: In this article, we present a scalable video compression algorithm to deliver higher compr...
This paper investigates the drifting problem in Progressive Fine Granularity Scalable (PFGS) video c...
In this paper, we propose a new algorithm, which utilizes the enhancement layer prediction to furthe...
Abstract — This paper focuses on prediction optimality in spatially scalable video coding. It draws ...
A novel highly efficient macroblock-based progressive fine granularity scalable (MBPFGS) video codin...
A novel highly efficient macroblock-based progressive fine granularity scalable (MBPFGS) video codin...
This paper addresses the problem of optimal rate allocation for the macroblock-based Progressive Fin...
This paper builds on our recent work on optimal prediction in spatially scalable video coding, and i...
This dissertation focuses on the predictive coding of video contents based on optimal prediction pri...
Institute for Systems and Technologies of Information, Control and Communication (INSTICC)10th Inter...
Abstract—In this paper, we present a theoretical analysis of the distortion in multi-layer coding st...
This paper proposes a complete scheme of a ratedistortion optimal progressive fine granularity scala...
The recent advances in non-scalable video encoding brought by the H.264/AVC standard offered signifi...
Efficient bit stream adaptation and resilience to packet losses are two critical requirements in sca...
This paper is concerned with performance optimization of point-to-point communication of scalable vi...
ABSTRACT: In this article, we present a scalable video compression algorithm to deliver higher compr...
This paper investigates the drifting problem in Progressive Fine Granularity Scalable (PFGS) video c...
In this paper, we propose a new algorithm, which utilizes the enhancement layer prediction to furthe...
Abstract — This paper focuses on prediction optimality in spatially scalable video coding. It draws ...
A novel highly efficient macroblock-based progressive fine granularity scalable (MBPFGS) video codin...
A novel highly efficient macroblock-based progressive fine granularity scalable (MBPFGS) video codin...
This paper addresses the problem of optimal rate allocation for the macroblock-based Progressive Fin...
This paper builds on our recent work on optimal prediction in spatially scalable video coding, and i...
This dissertation focuses on the predictive coding of video contents based on optimal prediction pri...
Institute for Systems and Technologies of Information, Control and Communication (INSTICC)10th Inter...
Abstract—In this paper, we present a theoretical analysis of the distortion in multi-layer coding st...
This paper proposes a complete scheme of a ratedistortion optimal progressive fine granularity scala...
The recent advances in non-scalable video encoding brought by the H.264/AVC standard offered signifi...
Efficient bit stream adaptation and resilience to packet losses are two critical requirements in sca...