Scalable video coding based on motion-compensated temporal filtering: complexity and functionality analysis

Verdicchio, Fabio; Andreopoulos, J.; Clerckx, Tom; Barbarien, Joeri; Munteanu, Adrian; Cornelis, Jan; Schelkens, Peter

doi:10.1109/icip.2004.1421705

Cited by 10 publications

(15 citation statements)

References 7 publications

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“…A natural extension of the presented results involves estimation of the assignment operations (memory accesses). Some preliminary results concerning the profiling of memory accesses have been presented recently by Verdicchio et al [32]. We find that the effect of the memory accesses in the total decoding complexity relates strongly to a certain memory partitioning into local (internal) and nonlocal (external) accesses.…”

Section: A Validation Of the Proposed Gcm Estimation Modelmentioning

confidence: 84%

Rate-distortion-complexity modeling for network and receiver aware adaptation

Schaar¹,

Andreopoulos

2005

IEEE Trans. Multimedia

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Existing research on Universal Multimedia Access has mainly focused on adapting multimedia to the network characteristics while overlooking the receiver capabilities. Alternatively, part 7 of the MPEG-21 standard entitled Digital Item Adaptation (DIA) defines description tools to guide the multimedia adaptation process based on both the network conditions and the available receiver resources. In this paper, we propose a new and generic rate-distortion-complexity model that can generate such DIA descriptions for image and video decoding algorithms running on various hardware architectures. The novelty of our approach is in virtualizing complexity, i.e., we explicitly model the complexity involved in decoding a bitstream by a generic receiver. This generic complexity is translated dynamically into "real" complexity, which is architecture-specific. The receivers can then negotiate with the media server/proxy the transmission of a bitstream having a desired complexity level based on their resource constraints. Hence, unlike in previous streaming systems, multimedia transmission can be optimized in an integrated rate-distortion-complexity setting by minimizing the incurred distortion under joint rate-complexity constraints.Index Terms-Complexity modeling, MPEG-21 digital item adaptation, rate-distortion optimization, video streaming.

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Section: A Validation Of the Proposed Gcm Estimation Modelmentioning

confidence: 84%

Rate-distortion-complexity modeling for network and receiver aware adaptation

Schaar¹,

Andreopoulos

2005

IEEE Trans. Multimedia

Self Cite

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“…. This will obviously result in different requirements being placed on the system architecture, as the processing requirements for these different modes can vary orders of magnitude [25]. If this is handled using static worst-case design strategies, the designs will typically be severely overdimensioned, making inefficient use of system resources.…”

Section: Motivating Examplementioning

confidence: 97%

Exploiting Varying Resource Requirements in Wavelet-based Applications in Dynamic Execution Environments

Geelen

Ferentinos

Catthoor

et al. 2008

J Sign Process Syst Sign Image Video Technol

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In the context of future dynamic applications, systems will exhibit unpredictably varying platform resource requirements. To deal with this, they will not only need to be programmable in terms of instruction set processors, but also at least partial reconfigurability will be required. In this context, it is important for applications to optimally exploit the memory hierarchy under varying memory availability. This article presents a mapping strategy for wavelet-based applications: depending on the encountered conditions, it switches to different memory optimized instantations or localizations, permitting up to 51% energy gains in memory accesses. Systematic and parameterized mapping guidelines indicate which localization should be selected when, for varying algorithmic wavelet parameters. The results have been formalized and generalized to be applicable to more general wavelet-based applications.

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“…Comparison of SSIM, flicker metric [5] and VQM are depicted in Figs. 14,15,16,17,18,19,20,21,22,23,24,25,26,27, and 28 for the same set of video sequences. These results also reveals that the proposed scheme is better than the existing scheme [2].…”

Section: Visual Qualitymentioning

confidence: 98%

“…MCTF [3,6,15] is used in the video coding techniques to remove the temporal correlation within the sequence [15]. To achieve efficient de-correlation, the input samples need to be aligned along the motion trajectories.…”

Section: Motion Compensated Temporal Filtering (Mctf)mentioning

confidence: 99%

“…PSNR: PSNR is the ratio between the maximum possible value (power) of a signal and the power of distorting noise that affects the quality of the signal. PSNR is calculated using (15). SSIM: SSIM index is a primarily a image quality metric based on three components luminance similarity, contrast similarity and structural similarity.…”

Section: Evaluation Parameters Visual Qualitymentioning

confidence: 99%

See 1 more Smart Citation

MCDCT-TF based video watermarking resilient to temporal and quality scaling

Sahu

Rana

Sur

2015

Multimed Tools Appl

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Heterogeneity among the end using display devices and corresponding varying system requirements make scalable version of H.264/AVC standard more popular. Existing watermarking based authentication system may not be suitable well for this new extension, because the scalability property of the codec may itself is perceived as an attack popularly known as content adaptation attack. In this paper, a blind scalable video watermarking scheme is proposed, which is robust against quality and temporal scalability. In the proposed scheme, Discrete Cosine Transform (DCT) based temporal filtering and wavelet based spatial filtering is used for choosing suitable watermark embedding zone. Experimental evidences are provided to justify the improved robustness of the proposed scheme over existing related watermarking schemes. The visual quality of the watermarked video has also been evaluated to show the efficiency of the proposed scheme.

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Scalable video coding based on motion-compensated temporal filtering: complexity and functionality analysis

Cited by 10 publications

References 7 publications

Rate-distortion-complexity modeling for network and receiver aware adaptation

Rate-distortion-complexity modeling for network and receiver aware adaptation

Exploiting Varying Resource Requirements in Wavelet-based Applications in Dynamic Execution Environments

MCDCT-TF based video watermarking resilient to temporal and quality scaling

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