Frame-groups based fractal video compression and its parallel implementation in Hadoop cloud computing environment

Huang, Zhehuang

doi:10.1007/s11045-017-0480-1

Cited by 7 publications

(3 citation statements)

References 30 publications

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“…The mapping of symmetry reduces the space of non-overlapping blocks of domain and range. The process of fractal encoding describes here with the figure 1 [16][17][18][19][20][21][22][23].…”

Section: Isosceles Triangular Partitionmentioning

confidence: 99%

Video Compression based on Fractal Isosceles Triangular Partition using Hybrid Swarm Intelligence

Pandit¹,

Shukla²,

Tiwari³

2018

IJCA

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Symmetry property of fractal transforms enriched the compression techniques of digital multi-media data. The major part of multi-media data is video and image. The diverse nature of video required more memory and bandwidth for storage and transmission. For the efficient processing of video needs compression. Isosceles triangular partition (ITP) techniques provide the symmetry of range block and domain blocks in terms of triangular shape not in a rectangle. The triangular shape reduces the process of non-overlapping of blocks and increases quality of video compression in terms of PSNR. Instead of quality improvement of video suffered from the process of compression ratio and process of encoding time of video. The bottleneck problem of isosceles triangular partition is search space and mapping of blocks. For the betterment of search space and mapping of blocks used hybrid swarm intelligence. The hybrid swarm intelligence reduces the search space and increases the efficiency of mapping and increases the compression ratio of video compression. The design algorithms simulated in MATLAB software and used some short duration of video clip and measure some standard parameters such as PSNR, encoding time, compression ratio and MSE. The design algorithm gives better results instead of isosceles triangular partition.

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“…The mapping of symmetry reduces the space of non-overlapping blocks of domain and range. The process of fractal encoding describes here with the figure 1 [16][17][18][19][20][21][22][23].…”

Section: Isosceles Triangular Partitionmentioning

confidence: 99%

Video Compression based on Fractal Isosceles Triangular Partition using Hybrid Swarm Intelligence

Pandit¹,

Shukla²,

Tiwari³

2018

IJCA

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“…Step 1: For one interframe prediction PU, obtain several MVs [19] via the AMVP technology, calculate the rate-distortion cost when each MV is predicting [20,21], select the point corresponding to the MV with the smallest rate-distortion cost as the origin of search, shift to step 2.…”

Section: Fractal-based Interframe Prediction Algorithmmentioning

confidence: 99%

Fractal Coding based Optimization Algorithm for Interframe Prediction of High-definition Video

Liu¹

2018

Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)

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A fractal coding based interframe prediction algorithm is proposed, to hugely reduce the calculation amount of interframe prediction and raise the coding velocity. The complexity of interframe prediction algorithm is the motion search. The interframe prediction in HEVC needs to find out the best matched block for each image block of each division mode of the current frame in the reference frame. The defining of the reference frame is also very complex, especially for the frame of bidirectional prediction, its reference frame needs to be defined on two directions, and then the best matched image block for the current image block in the reference frame is to be further defined. To cope this high complexity of interframe prediction, we make some improvements on the part of motion search for the interframe prediction by introducing the fractal idea to match the image block to realize more rapid matching of image block. The experimental result shows that the coding efficiency of fractal coding-based interframe prediction algorithm averagely improves by 7.86%, the peak SNR averagely reduces 0.164 dB and the coding time averagely reduces by 22.37%. The proposed algorithm can significantly raise the coding velocity and cut the coding time hardly with any influence on the coding quality.2) Equidistant transformation: Some equidistance transformations can be made for D blocks to make D blocks more approximate R blocks [1].3) Error measurement: Measure the error MSE for matching D blocks and R blocks, then the PSNR   Peak signal to noise ratio measuring the quality of coded image can be calculated according to MSE [11,12].

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“…The code stream formed by this method is encoded, and the decoded video image quality formed after decoding, inverse quantization, and inverse transform at the decoding end is worse than the original image, and the decoded image quality is poor. Because the H.264 encoding effect is relatively better, in order to improve the quality of intraframe coding, this paper draws on the intra prediction method in the video coding standard H.264/AVC and improves it to some extent [10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

HD Video Coding based on Fractal and H.264

Chen¹

2018

Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)

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This paper studies the HD video and remote sensing image compression algorithm based on fractal and H.264.In order to study the technology of image storage and transmission suitable for HD resolution video. The system further optimizes the intra-frame coding mode currently adopted by H.264, and proposes a new fast intra-block block algorithm to reduce the prediction mode selection. For inter prediction, a new motion estimation and motion compensation algorithm is proposed based on fractal. In order to further reduce the number of coded bits, transform, quantize and entropy encode the fractal residuals. Since the motion vector MV and the fractal coefficients cannot be quantized, their differences are directly entropy encoded. The high-definition video coding system based on fractal and H.264 not only reduces the coding complexity, but also improves the coding efficiency.

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Frame-groups based fractal video compression and its parallel implementation in Hadoop cloud computing environment

Cited by 7 publications

References 30 publications

Video Compression based on Fractal Isosceles Triangular Partition using Hybrid Swarm Intelligence

Video Compression based on Fractal Isosceles Triangular Partition using Hybrid Swarm Intelligence

Fractal Coding based Optimization Algorithm for Interframe Prediction of High-definition Video

HD Video Coding based on Fractal and H.264

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