For bit-plane coding of random source, we establish a relationship between the probability density function of an arbitrary non-negative distribution and the bit-plane symbol probability. Applied to Laplacian source, ...
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ISBN:
(纸本)9781424442959
For bit-plane coding of random source, we establish a relationship between the probability density function of an arbitrary non-negative distribution and the bit-plane symbol probability. Applied to Laplacian source, the relationship gives a simple, closed form of bit-plane symbol probability, which is a superset of the probability assignment rule adopted in the MPEG-4 Audio scalable Lossless coding (SLS) international standard. For bit-plane arithmetic coding of Laplacian source, we propose an algorithm and apply it to MPEG4 SLS. Experimental results show that without changing the encoder/decoder complexity, the proposed algorithm consistently improved the compression ratio over SLS for all the 51 MPEG test sequences. The overall improvement in the compression ratio is 0.11percent.
Today's diverse data consumption devices and heterogeneous network conditions require content to be coded at different quality levels. Conventional scalable coding, which generates hierarchical layers that refine ...
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ISBN:
(纸本)9781479999897
Today's diverse data consumption devices and heterogeneous network conditions require content to be coded at different quality levels. Conventional scalable coding, which generates hierarchical layers that refine quality incrementally, introduces a performance penalty, as most sources are not successively refinable at finite delays for the distortion measure employed and the combination of rates at each layer. On the other hand encoding different copies at required quality levels is clearly wasteful in resources. We previously proposed a common information based framework with a relaxed hierarchical structure to generate common and individuals bit-streams for different quality levels, to provide the flexibility of operating at points between conventional scalable coding and independent coding. In this paper we propose a quantizer design technique for this layered coding framework, which enables extracting common information between two quality levels with negligible performance penalty. Experimental results for Laplacian sources, which are prevalent in practical multimedia systems, substantiate the effectiveness of our proposed technique.
This paper presents a novel multi-filtering framework for achieving scalable PAttern-driven Region-adaptive Compression (SPARC) of *** on a pattern-driven image perception,SPARC achieves efficient compression by model...
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This paper presents a novel multi-filtering framework for achieving scalable PAttern-driven Region-adaptive Compression (SPARC) of *** on a pattern-driven image perception,SPARC achieves efficient compression by modeling and encoding different (simple,structural and complex) visual *** results using various image datasets and comparison with the latest image compression standard corroborate the feasibility and efficiency of the SPARC technique.
This work presents a series of sparse signal modeling algorithms implemented in a variable rate CELP coder in order to compare their performances at a reasonable computational load. Multipulse excitation (MPE), Multi-...
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This work presents a series of sparse signal modeling algorithms implemented in a variable rate CELP coder in order to compare their performances at a reasonable computational load. Multipulse excitation (MPE), Multi-Pulse Maximum Likelihood Quantization (MP-MLQ), Algebraic CELP (ACELP) and hybrid excitation schemes are analyzed under a common framework. New approaches are proposed, based on cyclic and parallel use of fast greedy algorithms. These algorithms yield a statistically significant reduction of signal approximation error at a controllable computational complexity. Main results were confirmed by comparing MOS values obtained with the PESQ algorithm.
Many professional applications require video content to be compressed in a lossless manner. However, often it is also advantageous to have access to a lossy coded version of the same video content, for example for pre...
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ISBN:
(纸本)9781479957521
Many professional applications require video content to be compressed in a lossless manner. However, often it is also advantageous to have access to a lossy coded version of the same video content, for example for preview purposes. In this paper the Sample-based Weighted Prediction (SWP) algorithm is applied for two-layer lossy to lossless scalable video compression with SHVC. This means that lossy compression is used for the first layer, the so-called base layer, and lossless compression is used for the second layer, also referred to as enhancement layer. In order to increase the coding efficiency of the enhancement layer the SWP algorithm is used for sample-wise prediction. Depending on the quantization parameter for the base layer, significant bitrate savings considering both layers of up to 8.38% (up to 6.20% on average) compared to the unmodified SHVC reference software can be achieved.
This paper presents an inter-layer filtering technique to improve the coding efficiency of the emerging SHVC scalable video coding standard. This filtering method is based on the Sample Adaptive Offset (SAO) tool intr...
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ISBN:
(纸本)9781479957521
This paper presents an inter-layer filtering technique to improve the coding efficiency of the emerging SHVC scalable video coding standard. This filtering method is based on the Sample Adaptive Offset (SAO) tool introduced in the HEVC video coding standard. The original SAO filtering technique is slightly modified and applied to filter the HEVC base layer so as to improve the prediction of the enhancement layer. Based on the testing conditions of the SHVC standardization process, the results of this SAO inter-layer processing compared to the SHVC reference software show a noticeable improvement of the coding efficiency for the enhancement layer.
This paper proposes a novel framework for the compression and transmission of the auto-stereo video. Based on the video-plus-depth data representation, this framework provides high adaptability, reliability and flexib...
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This paper proposes a novel framework for the compression and transmission of the auto-stereo video. Based on the video-plus-depth data representation, this framework provides high adaptability, reliability and flexibility for the stereo display. Besides, it also permits the consumers to be interactive with the perception of the stereo video. The proposed compression approach for the video-plus-depth data representation utilizes the characteristics of the human vision system and reduces data amount effectively. The transmission approach, in combination with the data hiding technology and the effective coding algorithm, performs well in our framework. Both the early experiments of our research group and the theory analysis of the coding algorithm can guarantee the performance of the whole framework for the compression and transmission of the auto-stereo video. Technical challenges are identified in the end.
scalable coders generate hierarchically layered bitstreams to serve content at different quality levels, wherein the base layer provides a coarse quality reconstruction and successive layers incrementally refine the q...
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ISBN:
(纸本)9781479928941
scalable coders generate hierarchically layered bitstreams to serve content at different quality levels, wherein the base layer provides a coarse quality reconstruction and successive layers incrementally refine the quality. However, it is widely recognized that there is an inherent performance penalty due to the scalable coding structure, when compared to independently encoded copies. To mitigate this loss we propose a layered compression framework, having roots in information theoretic concepts, which relaxes the strict hierarchical constraints, wherein only a "subset" of the information of a lower quality level is shared with higher quality levels. In other words, there is flexibility to also have "private" information at each quality level, beside information that is common to multiple levels. We employ this framework within the MPEG scalable AAC and propose an optimization scheme to jointly select parameters of all the layers. Experimental evaluation results demonstrate the utility of the flexibility provided by the proposed framework.
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