Highly Paralleled Low-Cost Embedded HEVC Video Encoder on TI KeyStone Multicore DSP

Jiang, Hongxu; Fan, Rui; Zhang, Yongfei; Wang, Gang; Li, Zhe

doi:10.1109/tcsvt.2018.2826074

Cited by 6 publications

(5 citation statements)

References 39 publications

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“…Jiang et al [64] proposed a SIMD-accelerated HEVC encoder implemented on a digital signal processor (DSP). The authors focused on improving data parallelism and minimizing the memory traic overhead.…”

Section: Inter-frame Compressionmentioning

confidence: 99%

Image and Video Coding Techniques for Ultra-low Latency

et al. 2022

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The next generation of wireless networks fosters the adoption of latency-critical applications such as XR, connected industry, or autonomous driving. This survey gathers implementation aspects of different image and video coding schemes and discusses their tradeoffs. Standardized video coding technologies such as HEVC or VVC provide a high compression ratio, but their enormous complexity sets the scene for alternative approaches like still image, mezzanine, or texture compression in scenarios with tight resource or latency constraints. Regardless of the coding scheme, we found inter-device memory transfers and the lack of sub-frame coding as limitations of current full-system and software-programmable implementations.

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Section: Inter-frame Compressionmentioning

confidence: 99%

Image and Video Coding Techniques for Ultra-low Latency

et al. 2022

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“…In [126], Sun introduced a Markov Chain model based data pre-fetching algorithm to speed up ME on multi-core DSPs through improving efficiency of data access. In our recent work [127], a multi-core DSP-based highly-paralleled HEVC encoder solution was implemented. The overall structure of HEVC encoder was re-designed to well support the encoding parallelism and lowdelay low-memory multicore data transmission mechanism was designed to reduce data access latency Besides, SIMD-based optimizations are also integrated.…”

Section: Dsp-based Implementationmentioning

confidence: 99%

“…Block partitioning structure is regards as core infrastructure based on which sophisticated coding tools are supported [127].…”

Section: A Quadtree Plus Binary Tree (Qtbt) Block Partitioningmentioning

confidence: 99%

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Recent Advances on HEVC Inter-Frame Coding: From Optimization to Implementation and Beyond

Zhang

Fan

et al. 2020

IEEE Trans. Circuits Syst. Video Technol.

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High Efficiency Video Coding (HEVC) has doubled the video compression ratio with equivalent subjective quality as compared to its predecessor H.264/AVC. The significant coding efficiency improvement is attributed to many new techniques. Interframe coding is one of the most powerful yet complicated techniques therein and has posed high computational burden thus main obstacle in HEVC-based real-time applications. Recently, plenty of research has been done to optimize the inter-frame coding, either to reduce the complexity for real-time applications, or to further enhance the encoding efficiency. In this paper, we provide a comprehensive review of the state-of-the-art techniques for HEVC inter-frame coding from three aspects, namely fast inter coding solutions, implementation on different hardware platforms as well as advanced inter coding techniques. More specifically, different algorithms in each aspect are further subdivided into sub-categories and compared in terms of pros, cons, coding efficiency and coding complexity. To the best of our knowledge, this is the first such comprehensive review of the recent advances of the inter-frame coding for HEVC and hopefully it would help the improvement, implementation and applications of HEVC as well as the ongoing development of the next generation video coding standard.

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“…In total, 3 compression levels and 3 kinds of projection are considered, and thus 9 different impaired sequences correspond to each reference sequence. Specifically, we use H.265 [12,18], a state-of-the-art video compression standard, to compress the reference sequences. For each sequence, three test points are obtained with quantization parameter (QP) = 27, 37 and 42 [52].…”

Section: Omnidirectional Sequencesmentioning

confidence: 99%

Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video

et al. 2018

Proceedings of the 26th ACM International Conference on Multimedia

107

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Omnidirectional video enables spherical stimuli with the 360 × 180 • viewing range. Meanwhile, only the viewport region of omnidirectional video can be seen by the observer through head movement (HM), and an even smaller region within the viewport can be clearly perceived through eye movement (EM). Thus, the subjective quality of omnidirectional video may be correlated with HM and EM of human behavior. To fill in the gap between subjective quality and human behavior, this paper proposes a large-scale visual quality assessment (VQA) dataset of omnidirectional video, called VQA-OV, which collects 60 reference sequences and 540 impaired sequences. Our VQA-OV dataset provides not only the subjective quality scores of sequences but also the HM and EM data of subjects. By mining our dataset, we find that the subjective quality of omnidirectional video is indeed related to HM and EM. Hence, we develop a deep learning model, which embeds HM and EM, for objective VQA on omnidirectional video. Experimental results show that our model significantly improves the state-of-the-art performance of VQA on omnidirectional video. CCS CONCEPTS• Human-centered computing → Virtual reality; KEYWORDSOmnidirectional video, visual quality assessment, human behavior ACM Reference Format:

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Highly Paralleled Low-Cost Embedded HEVC Video Encoder on TI KeyStone Multicore DSP

Cited by 6 publications

References 39 publications

Image and Video Coding Techniques for Ultra-low Latency

Image and Video Coding Techniques for Ultra-low Latency

Recent Advances on HEVC Inter-Frame Coding: From Optimization to Implementation and Beyond

Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video

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