A Fast Mode Decision Algorithm in Spatial and Temporal Scalable Video Coding

Yang, Dawei; Hou, Baochun; Sotudeh, R.

doi:10.1109/iita.2009.224

Cited by 3 publications

(6 citation statements)

References 3 publications

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“…To reduce the implementation complexity, several fast techniques have been presented recently [7], [8], [9], [10], [11]; most of them share the same concept of using the correlation between a macroblock (MB) and its neighbours in different layers and also that between a MB in the base layer and its corresponding position in the enhancement layer.…”

Section: Related Workmentioning

confidence: 99%

“…In Ref. [10] a scheme that generates reduced candidate list for the current macroblock according to co-located reference macroblocks is presented. It works by calculating the average PSNR of the frames in same temporal levels for a specific mode, and then this PSNR is subtracted from the PSNR of the same mode for the current MB and compared to a threshold.…”

Section: Related Workmentioning

confidence: 99%

“…It shows that our method achieves an average of 18.67% and 14.98% time saving for scalable spatial and scalable quality video coding respectively, while maintaining better PSNR and lower bit rate. Table 9 provides comparison results between a recently developed fast mode selection algorithm [10] and the proposed method. It shows that proposed method achieves an average of 22.26% time saving while maintaining similar PSNR and bit rate.…”

Section: Spatial and Cgs Scalabilitymentioning

confidence: 99%

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Fast Adaptive Hierarchical Prediction Algorithm for H.264/AVC Scalable Video Coding

Abdelazim¹,

Mein²,

Varley³

et al. 2012

IPSJ Transactions on Computer Vision and Applications

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The objective of scalable video coding (SVC) is to enable the generation of a unique bitstream that can adapt to various bit-rates, transmission channels and display capabilities. The scalability is categorised in terms of temporal, spatial, and quality. In order to improve encoding efficiency, the SVC scheme incorporates inter-layer prediction mechanisms to complement the H.264/AVC very refined Motion Estimation (ME) and mode decision processes. However, this further increases the overall encoding complexity of the scalable coding standard. In this paper several conditional probabilities are established relating motion estimation characteristics and the mode distribution at different layers of the H.264/SVC. An evaluation of these probabilities is used to structure a low-complexity prediction algorithm for Group of Pictures (GOP) in H.264/SVC, reducing computational complexity whilst maintaining similar RD performance. When compared to the JSVM software, the proposed algorithm achieves a significant reduction of encoding time, with a negligible average PSNR loss and bit-rate increase in temporal, spatial and SNR scalability. Experiments are conducted to provide a comparison between our method and recently developed fast mode selection algorithms. These demonstrate the proposed method achieves appreciable time savings for scalable spatial and scalable quality video coding, while maintaining similar PSNR and bit rate.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Spatial and Cgs Scalabilitymentioning

confidence: 99%

See 1 more Smart Citation

Fast Adaptive Hierarchical Prediction Algorithm for H.264/AVC Scalable Video Coding

Abdelazim¹,

Mein²,

Varley³

et al. 2012

IPSJ Transactions on Computer Vision and Applications

View full text Add to dashboard Cite

show abstract

“…Kim et al [15] suggested a fast mode search for combined scalability based on the correlation between the search directions for bidirectional motion prediction of neighboring MBs and the current MB at the encoder. Dawei et al [16] introduced an algorithm based on early termination of the modes used in the colocated reference macroblock of all the layers. This was done by calculating the mean peak signal-to-noise ratio (PSNR) for all the frames at the temporal level for a specific mode.…”

Section: Introductionmentioning

confidence: 99%

Efficient Enhancement for Spatial Scalable Video Coding Transmission

Khairy

Hamdy

Elsayed

et al. 2017

Mathematical Problems in Engineering

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Scalable Video Coding (SVC) is an international standard technique for video compression. It is an extension of H.264 Advanced Video Coding (AVC). In the encoding of video streams by SVC, it is suitable to employ the macroblock (MB) mode because it affords superior coding efficiency. However, the exhaustive mode decision technique that is usually used for SVC increases the computational complexity, resulting in a longer encoding time (ET). Many other algorithms were proposed to solve this problem with imperfection of increasing transmission time (TT) across the network. To minimize the ET and TT, this paper introduces four efficient algorithms based on spatial scalability. The algorithms utilize the mode-distribution correlation between the base layer (BL) and enhancement layers (ELs) and interpolation between the EL frames. The proposed algorithms are of two categories. Those of the first category are based on interlayer residual SVC spatial scalability. They employ two methods, namely, interlayer interpolation (ILIP) and the interlayer base mode (ILBM) method, and enable ET and TT savings of up to 69.3% and 83.6%, respectively. The algorithms of the second category are based on full-search SVC spatial scalability. They utilize two methods, namely, full interpolation (FIP) and the full-base mode (FBM) method, and enable ET and TT savings of up to 55.3% and 76.6%, respectively.

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“…To reduce the implementation complexity, several fast techniques have been presented recently [3][4][5] . In 3 a conditional elimination of Bi-directional temporal prediction for large partitions and adaptive selection of forward and backward temporal prediction for small partitions has been implemented.…”

Section: Introductionmentioning

confidence: 99%

Fast multilayered prediction algorithm for group of pictures in H.264/SVC

et al. 2011

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The objective of scalable video coding is to enable the generation of a unique bitstream that can adapt to various bitrates, transmission channels and display capabilities. The scalability is categorised in terms of temporal, spatial, and quality. To improve encoding efficiency, the SVC scheme incorporates inter-layer prediction mechanisms which increases complexity of overall encoding.In this paper several conditional probabilities are established relating motion estimation characteristics and the mode distribution at different layers of the H.264/SVC. An evaluation of these probabilities is used to structure a lowcomplexity prediction algorithm for Group of Pictures (GOP) in H.264/SVC, reducing computational complexity whilst maintaining similar performance. When compared to the JSVM software, this algorithm achieves a significant reduction of encoding time, with a negligible average PSNR loss and bit-rate increase in temporal, spatial and SNR scalability. Experiments are conducted to provide a comparison between our method and a recently developed fast mode selection algorithm. These demonstrate our method achieves appreciable time savings for scalable spatial and scalable quality video coding, while maintaining similar PSNR and bit rate.

show abstract

A Fast Mode Decision Algorithm in Spatial and Temporal Scalable Video Coding

Cited by 3 publications

References 3 publications

Fast Adaptive Hierarchical Prediction Algorithm for H.264/AVC Scalable Video Coding

Fast Adaptive Hierarchical Prediction Algorithm for H.264/AVC Scalable Video Coding

Efficient Enhancement for Spatial Scalable Video Coding Transmission

Fast multilayered prediction algorithm for group of pictures in H.264/SVC

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