Video Coding Based on Shape-Adaptive All Phase Biorthogonal Transform and MPEG-4

Wang, Xiaoyan; Wang, Chengyou; Zhou, Xiao; Yang, Zhiqiang

doi:10.12720/jcm.10.12.1004-1011

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…at the device locating at the border of a corporate network), therefore deteriorating the external access of required video contents from corporate users. In this regard, the Docker technology is well-suited [7], [8] since it can enable the replications of some of cloud services [7] or video transcoding micro-service platform [8], [9] at ease and in a quick manner.…”

Section: B Edge Computing Approachmentioning

confidence: 99%

AHP-Based Resource Utilization Scheme at the Network Edge with Ad Hoc Network Gateway

Waedorkor¹,

Witosurapot²

2018

IJFCC

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A sensitive problem in active learning classroom affecting the performance of Internet video streams is caused from the network degradation during the times of overloaded traffics. In this paper, we investigate how such a problem can be solved by a mean of edge computing system running at a gateway device so that virtualized services for transcoded video streams can be offered at the local ad-hoc network. In addition, we explore the use of multi-criteria decision making mechanism with AHP method for suggesting sensible network resources that can yield possible video qualities. Based on the result obtained by empirical network traces on a video clip transfer, our proposed solution selects lower levels of network utilizations than those of DASH server for similar video resolutions and frame-rates. Hence, it is beneficial for empowering the teacher to deploy flexible network policies in times of congestion at ease so that the residue of network resource can be given to some other essential tasks.

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Section: B Edge Computing Approachmentioning

confidence: 99%

AHP-Based Resource Utilization Scheme at the Network Edge with Ad Hoc Network Gateway

Waedorkor¹,

Witosurapot²

2018

IJFCC

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“…Similar to SA-DCT [11], SA-APBT can be used in region-based gray image coding [12] and MPEG-4 video compression [13]. There are four procedures for SA-APBT: vertically shift the pixels to be transformed to the uppermost position, one-dimensional variable-length APBT in the vertical direction, horizontally shift the pixels to the left border, and one-dimensional variable-length APBT in the horizontal direction.…”

Section: Sa-apbtmentioning

confidence: 99%

Color Image Coding Based on Shape-Adaptive All Phase Biorthogonal Transform

2017

J Inf Process Syst

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This paper proposes a color image coding algorithm based on shape-adaptive all phase biorthogonal transform (SA-APBT). This algorithm is implemented through four procedures: color space conversion, image segmentation, shape coding, and texture coding. Region-of-interest (ROI) and background area are obtained by image segmentation. Shape coding uses chain code. The texture coding of the ROI is prior to the background area. SA-APBT and uniform quantization are adopted in texture coding. Compared with the color image coding algorithm based on shape-adaptive discrete cosine transform (SA-DCT) at the same bit rates, experimental results on test color images reveal that the objective quality and subjective effects of the reconstructed images using the proposed algorithm are better, especially at low bit rates. Moreover, the complexity of the proposed algorithm is reduced because of uniform quantization.

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“…DCT [5] DWT [1] LBT [3] PT [22] DAST [27] UT [25] JPEG 2000 [1] International Standards for Image Coding SA-DCT [15] WHT DST [40,41] DFT D-DCT [23] MPEG-2 [12] H.264/AVC [6] MPEG-4 [13,35] HEVC/H.265 [7,40] KLT International Standards for Video Coding MT [24] AVS WAPBT [37] SA-APBT [33,35] D-APBT [34,36] Transforms Based on "All Phase" [9] APBTT [30] DTT [18][19][20] APBUT3 [29,31] APBUT2 [32] JPEG XR [2] JPEG [4] AST [26] WDCT [16,17] APBT [10][11][12][13]39] LOT [8] Approximate DTT [21] Pre-transforms Fig. 1.…”

Section: Emerging Transformsmentioning

confidence: 99%

All Phase Inverse Discrete Sine Biorthogonal Transform and Its Application in Image Coding

Zhou¹,

Wang²,

Jiang³

2017

JCM

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To improve the coding performance in JPEG image compression and reduce the computational complexity, this paper proposes a new transform called All Phase Inverse Discrete Sine Biorthogonal Transform (APIDSBT) based on the All Phase Biorthogonal Transform (APBT) and Inverse Discrete Sine Transform (IDST). Similar to Discrete Sine Transform (DST) matrix and Discrete Cosine Transform (DCT) matrix, it can be used in image compression which transforms the image from spatial domain to frequency domain. Compared with other transforms in JPEG-like image compression algorithm, the Peak Signal-to-Noise Ratio (PSNR) and subjective effects of the reconstructed images using the proposed transform and image coding scheme are better at the same bit rates, especially at low bit rates. The advantage is that the quantization process is simpler and the computational complexity is lower.

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Video Coding Based on Shape-Adaptive All Phase Biorthogonal Transform and MPEG-4

Cited by 4 publications

References 10 publications

AHP-Based Resource Utilization Scheme at the Network Edge with Ad Hoc Network Gateway

AHP-Based Resource Utilization Scheme at the Network Edge with Ad Hoc Network Gateway

Color Image Coding Based on Shape-Adaptive All Phase Biorthogonal Transform

All Phase Inverse Discrete Sine Biorthogonal Transform and Its Application in Image Coding

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