Hardware Implementation of Block-based Motion Estimation for Real Time Applications

Rizkalla, Maher; Salama, Paul; El-Sharkawy, Mohamed; Sushmitha, M

doi:10.1007/s11265-007-0047-8

Cited by 4 publications

(4 citation statements)

References 12 publications

(17 reference statements)

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“…SAD is the most popular metric because of it's practically in hardware design [7]. Its function can be defined with (1) and its hardware structure is shown in Figure 2.…”

Section: Preliminariesmentioning

confidence: 99%

Low cost error tolerant motion estimation for H.264/AVC standard

Sargolzaie

Semsarzadeh

Hashemi

et al. 2010

2010 East-West Design &Amp; Test Symposium (EWDTS)

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Motion estimation is the most important module in any video encoder from quality point of view. Although in the presence of faults the final generated bit-stream is compatible with the standard but the quality degradation and decreasing of compression ratio is considerable. In this paper a low cost error tolerant structure for motion estimation is proposed. Simulation results show that our proposed method imposes smaller area and power overhead with small effect on quality.

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“…SAD is the most popular metric because of it's practically in hardware design [7]. Its function can be defined with (1) and its hardware structure is shown in Figure 2.…”

Section: Preliminariesmentioning

confidence: 99%

Low cost error tolerant motion estimation for H.264/AVC standard

Sargolzaie

Semsarzadeh

Hashemi

et al. 2010

2010 East-West Design &Amp; Test Symposium (EWDTS)

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“…Each individual frame is coded such that redundancy is removed with a motion estimation (ME) and motion compensation (MC) system. An ME is the most computational intensive operation in the coding hence, Block Matching Algorithm (BMA) [2] based ME and MC techniques have been widely accepted to alleviate the computational burden. BMAs estimate motion on the basis of rectangular blocks and assume that all the pels (picture elements) within a block have the same motion activity, therefore produce one motion vector (MV) for each block.…”

Section: Introductionmentioning

confidence: 99%

Multi Point Search Pattern for Fast Search Motion Estimation of High Resolution Video Coding

Shah¹,

Dalal

Prajapati³

2015

IJIGSP

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Abstract-Block matching algorithm (BMA) based motion estimation (ME) is most accepted method for removal of temporal redundancy between frames in video coding. With recent advancement in resolution of video, the need of search pattern covering most of macroblocks within search area in frame is increasing. Existing search patterns are tiny and take plenty of time to reach at edge or corner of the search window. With aim of covering nearly every probable candidate macroblocks in all direction and to speed up the search process, multipoint search patterns are presented in this paper. Initial candidate macroblocks are chosen on grid of 12x12 and then search progresses like traditional diamond or hexagon search. Due to multipoint, chances of trapping in incorrect direction is very less and method can exhibit better quality of encoding with optimum number of search points.Index Terms-Motion Estimation, Fast search block matching algorithm, Multi point search, H.265, HD video sequences.

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“…H.264/AVC [1] [2] supports inter prediction which uses ME from previously coded frames called a reference picture and produces motion vectors (MVs). Block Matching Algorithm (BMA) [3] based ME and MC technique is popularly utilized by most of video coding standards.…”

Section: Introductionmentioning

confidence: 99%

“…1. Block matching method [3] Whole process of BMA and ME is computational intensive and demands efficient mechanism to reduce computation burden. In this paper search strategies are reviewed in section II.…”

Section: Introductionmentioning

confidence: 99%

Early termination in diamond search method using statistical analysis

Shah¹,

Dalal

2013

2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013)

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Multimedia is key technology for today's handheld devices. Interactive messages, video chat, video conferencing are quickly replacing traditional way of communication which has become possible because of effective video processing methods that enable high compression. Variety of devices are used from high end computers to low end phones to serve the purpose. Specifically gadgets with low computational power, wants to achieve reasonable good quality video with little cost of computation which can be accomplish by proficient video coding. Motion Estimation and Motion Compensation are tools for video compression, in which motion information of the current block is predicted from adjacent blocks using Sum of Absolute Difference as cost function. Whole process is extremely computation rigorous and demands reduction in amount of computation withclause of sustaining visual quality, to make it suitable for end devices with low computation supremacy. In this paper statistical analysis of motion information is made which is used to diminish amount of computation in existing diamond search (DS) method.

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Hardware Implementation of Block-based Motion Estimation for Real Time Applications

Cited by 4 publications

References 12 publications

Low cost error tolerant motion estimation for H.264/AVC standard

Low cost error tolerant motion estimation for H.264/AVC standard

Multi Point Search Pattern for Fast Search Motion Estimation of High Resolution Video Coding

Early termination in diamond search method using statistical analysis

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