Architecture design of variable block size motion estimation for full and fast search algorithms in H.264/AVC

Xiong, Xuanxing; Song, Yang; Akoglu, Ali

doi:10.1016/j.compeleceng.2011.01.003

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…Each search pattern has a specific shape (i.e., rectangular, hexagonal, cross, diamond, etc.) [24,44,45]. Examples of well-known fixed sets of search pattern algorithms include three step search (TSS) [46], new three step search (NTSS) [47], four step search (4SS) [48], diamond search (DS) [49], and simple and efficient search (SESTSS) [50].…”

Section: Fixed Set Of Search Patternsmentioning

confidence: 99%

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics

et al. 2020

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The smart city concept has attracted high research attention in recent years within diverse application domains, such as crime suspect identification, border security, transportation, aerospace, and so on. Specific focus has been on increased automation using data driven approaches, while leveraging remote sensing and real-time streaming of heterogenous data from various resources, including unmanned aerial vehicles, surveillance cameras, and low-earth-orbit satellites. One of the core challenges in exploitation of such high temporal data streams, specifically videos, is the trade-off between the quality of video streaming and limited transmission bandwidth. An optimal compromise is needed between video quality and subsequently, recognition and understanding and efficient processing of large amounts of video data. This research proposes a novel unified approach to lossy and lossless video frame compression, which is beneficial for the autonomous processing and enhanced representation of high-resolution video data in various domains. The proposed fast block matching motion estimation technique, namely mean predictive block matching, is based on the principle that general motion in any video frame is usually coherent. This coherent nature of the video frames dictates a high probability of a macroblock having the same direction of motion as the macroblocks surrounding it. The technique employs the partial distortion elimination algorithm to condense the exploration time, where partial summation of the matching distortion between the current macroblock and its contender ones will be used, when the matching distortion surpasses the current lowest error. Experimental results demonstrate the superiority of the proposed approach over state-of-the-art techniques, including the four step search, three step search, diamond search, and new three step search.

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Section: Fixed Set Of Search Patternsmentioning

confidence: 99%

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics

et al. 2020

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“…Some of the fast BMA algorithms have been adopted in video coding standards [5], [6], [8] . This indicates that this is an extremely active field of research, and most fast block matching algorithms are introduced first for FBSME and then extended to VBSME [132]. The performance of each algorithm can be estimated by benchmarking with FS.…”

Section: Fast Block Matching Algorithmsmentioning

confidence: 99%

A survey on video compression fast block matching algorithms

Hussain

Ahmed

2019

Neurocomputing

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Video compression is the process of reducing the amount of data required to represent digital video while preserving an acceptable video quality. Recent studies on video compression have focused on multimedia transmission, videophones, teleconferencing, high definition television, CD-ROM storage, etc. The idea of compression techniques is to remove the redundant information that exists in the video sequences. Motion compensation predictive coding is the main coding tool for removing temporal redundancy of video sequences and it typically accounts for 50-80% of video encoding complexity. This technique has been adopted by all of the existing

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“…Pirnog et al 6 proposed the concept of applying variable search window in motion estimation algorithm. Xiong et al 7 proposed the architecture for variable block size motion estimation. They used adder tree structure to exploit data reuse and to enable the support for variable block sizes.…”

Section: Introductionmentioning

confidence: 99%

Energy‐efficient system‐on‐chip reconfigurable architecture design for sum of absolute difference computation in motion estimation process of H.265/HEVC video encoding

Chandran

Chandramani

2019

Concurrency and Computation

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Summary Motion estimation is the important and computationally intensive part of any video encoding. The objective of this paper is to design and analyze the coarse and fine reconfiguration of processing element‐based hardware design for block matching–based motion estimation in H.265/HEVC video processing. Sum of absolute difference (SAD) is the commonly used criteria for block matching in the motion estimation process. User input is taken as the parameter for coarse reconfiguration, and the threshold value in SAD is considered for the fine reconfiguration. Processing elements are the hardware units designed for performing SAD calculation. In this work, the hardware for block‐based motion estimation for H.265/HEVC encoder is designed using multiple processing elements, which will calculate the SAD values. A system‐on‐chip architecture is implemented and verified the optimization in terms of power and area utilization by reconfiguring the architecture dynamically based on the input video quality requirement.

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Architecture design of variable block size motion estimation for full and fast search algorithms in H.264/AVC

Cited by 9 publications

References 18 publications

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics

A survey on video compression fast block matching algorithms

Energy‐efficient system‐on‐chip reconfigurable architecture design for sum of absolute difference computation in motion estimation process of H.265/HEVC video encoding

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