Complexity control of HEVC encoders targeting real-time constraints

Grellert, Mateus; Shafique, Muhammad; Bampi, Sérgio; Henkel, Jörg

doi:10.1007/s11554-016-0602-2

Cited by 13 publications

(3 citation statements)

References 18 publications

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“…(2 × 64 × 1 + 3 × 16 × 2 + 20 × 4 × 3), which is equal to 1.81. Let n be the total number of observations and r be the total number of bins, the histogram 𝑚 ⅈ satisfies the condition in (9):…”

Section: Ctu Layer Complexity Estimation and Allocationmentioning

confidence: 99%

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Multiple layers complexity allocation with dynamic control scheme for high-efficiency video coding

Fang,

Chen

2024

J Real-Time Image Proc

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High-efficiency video coding (HEVC) has significantly improved coding efficiency; however, its quadtree (QT) structures for coding units (CU) substantially raise the overall coding complexity. This study introduces a novel complexity control scheme aimed at enhancing HEVC encoding efficiency. The proposed scheme operates at multiple layers, including the group of pictures (GOP) layer, frame layer, and coding tree unit (CTU) layer. Each coding layer is assigned a limited coding complexity based on the remaining coding time. Particularly noteworthy is the dynamic scheme implemented to activate the complexity control method. To further expedite encoding, an efficient algorithm is developed for the CTU layer. Experimental results indicate that the 0.46% and 0.98% increases in BD-rate under the target complexity are reduced to 80% and 60% of the complexity constraint, respectively. The rate-distortion performance surpasses existing state-of-the-art complexity control methods, demonstrating the effectiveness of the proposed approach in enhancing HEVC encoding efficiency.

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Section: Ctu Layer Complexity Estimation and Allocationmentioning

confidence: 99%

“…In [9], a comprehensive rate-complexity-distortion analysis was conducted through rigorous statistical experiments. Various combinations of coding parameter values were tested to establish the relationship between RD performance and complexity reduction.…”

Section: Introductionmentioning

confidence: 99%

Multiple layers complexity allocation with dynamic control scheme for high-efficiency video coding

Fang,

Chen

2024

J Real-Time Image Proc

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“…The Mercer kernel function needs to satisfy three conditions: continuity, symmetry, and positive definiteness [22].…”

Section: Design Of Adaptive Filtering Embeddedmentioning

confidence: 99%

Embedded Image and Video Coding Algorithm Based on Adaptive Filtering Equation

2021

Advances in Mathematical Physics

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Based on the improved adaptive filtering method, this paper conducts in-depth discussion and research on embedded graphics and video coding and chooses to improve the adaptive filtering algorithm from three aspects: starting point prediction, search template, and window partitioning. The algorithm is imported into the encoder for video capture and encoding. By capturing videos of different formats, resolutions, and times, the memory size of the video files collected before and after the algorithm optimization is compared, and the optimized algorithm occupies the memory space of the video file in the actual system. The conclusion of less and higher coding rates. The collected video information is stored on a personal computer equipped with a freeness, and external electronic devices only need to download and install the browser, and the collected video information can be accessed in the local area network through the protocol. The improved coding algorithm has higher coding efficiency and can reduce the storage space occupied by the video.

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