Dr. Sharon S. Peng Profile

Dr. Sharon S. Peng

Senior Research Staff Member at Philips Research North America

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Proceedings Article | 4 January 2002 Paper

Resource-constrained complexity-scalable video decoding via adaptive B-residual computation

Sharon Peng, Zhun Zhong

Proceedings Volume 4671, (2002) https://doi.org/10.1117/12.453040

KEYWORDS: Video, Computing systems, Video processing, Multimedia, Visualization, Data processing, Distortion, Algorithm development, Telecommunications, Control systems

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As media processing gradually migrates from hardware to software programmable platforms, the number of media processing functions added on the media processor grow even faster than the ever-increasing media processor power can support. Computational complexity scalable algorithms become powerful vehicles for implementing many time-critical yet complexity-constrained applications, such as MPEG2 video decoding. In this paper, we present an adaptive resource-constrained complexity scalable MPEG2 video decoding scheme that makes a good trade-off between decoding complexity and output quality. Based on the available computational resources and the energy level of B-frame residuals, the scalable decoding algorithm selectively decodes B-residual blocks to significantly reduce system complexity. Furthermore, we describe an iterative procedure designed to dynamically adjust the complexity levels in order to achieve the best possible output quality under a given resource constraint. Experimental results show that up to 20% of total computational complexity reduction can be obtained with satisfactory output visual quality.

Proceedings Article | 4 January 2002 Paper

Adaptive frequency weighting for fine-granularity-scalability

Sharon Peng, Mihaela van der Schaar

Proceedings Volume 4671, (2002) https://doi.org/10.1117/12.453128

KEYWORDS: Visualization, Electroluminescence, Video, Computer programming, Motion measurement, Stereolithography, Internet, Quantization, Matrices, Visual analytics

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To compensate for the unpredictability and variability in bandwidth between sender and receiver(s) over the Internet, a new scalable coding tool has recently been introduced in MPEG-4: Fine-Granularity-Scalability (FGS). The FGS framework is very flexible and can adapt in real-time to the Internet bandwidth variations by supporting both SNR and temporal scalability through a single pre-encoded fine-granular stream. However, while FGS is very flexible, it has a lower coding efficiency than non-scalable MPEG-4 coding. To reduce this visual quality penalty at low and medium bit-rates, a subjective quality improvement tool has been introduced in MPEG-4, allowing the prioritized transmission of low frequency DCT coefficients that contribute more to the visual quality. This tool is termed Frequency Weighting (FW). In this paper, we propose a novel scene-characteristic-dependent adaptive FW method that considerably improves the visual quality of FGS at low bit-rates. First, a thorough analysis of the FGS enhancement layer is performed at various bit-rates. Based on this analysis, we concluded that for improved visual quality, different FW methods should be used depending on the video sequence characteristics. Subsequently, we developed an automatic FW matrix adaptation mechanism that measures the brightness, motion and texture activity of each sequence and selects an appropriate FW method for that sequence from a set of a priori determined FW classes. This adaptive FW method has been subjectively evaluated and showed a clear improvement in visual quality compared with non-frequency weighted or non-adaptive frequency weighted sequences.

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