H.264/AVC deblocking filter based on motion activity in video sequences

Raja, Gulistan; Mirza, M.J.; Song, Tian

doi:10.1587/elex.5.809

Cited by 3 publications

(1 citation statement)

References 5 publications

(4 reference statements)

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“…Moreover, I also include some HD (720p) videos in my analysis by keeping in mind the upcoming HD video broadcasting requirements. The test video sequences are selected on the basis of different motion activities [26]. For example, InToTree and OldTownCross are the 720p videos having unidirectional and low motion contents.…”

Section: Resultsmentioning

confidence: 99%

Performance Analysis of Fast Block Matching Motion Estimation Algorithms

Khokhar¹,

Harasani²

2015

IJCA

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Motion Estimation (ME) is an integral part of any video encoder and a large number of Block Matching Motion Estimation (BMME) Algorithms are proposed to cope the computational complexity and increase quality of ME process requirement. Therefore, it is necessary to evaluate the performance of these ME algorithms for different motion activities. In this paper five fast famous BMME algorithms are considered to evaluate their performance on the basis of ME time, search points, PSNR and Means Square Error (MSE). The algorithms evaluated in this paper are considered for state of the art video compression standards like MPEG 1, to MPEG4 and H.261 to H.264. Results show that the PSNR of Diamond Search (DS) is best for all test video sequences, whereas, Hardware Modified DS takes maximum number of search points to calculate motion vector. Moreover, hexagon search algorithm takes minimum number of search points but its PSNR is considerably lower than the other algorithms.

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Section: Resultsmentioning

confidence: 99%

Performance Analysis of Fast Block Matching Motion Estimation Algorithms

Khokhar¹,

Harasani²

2015

IJCA

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Adaptive Modified Hexagon Based Search Motion Estimation algorithm

Ali

Raja

Muzammil

et al. 2014

2014 IEEE Fourth International Conference on Consumer Electronics Berlin (ICCE-Berlin)

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Entropy Coding for H.264 Video Compression

Patil¹,

Nandyal²

2022

ijsr

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H.264/AVC standard of the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. The H.264/AVC standardization is now achieving signicant improvement in rate-distortion efciency for digital systems worldwide. This paper provides an overview of the technical features of H.264/AVC, describing its baseline proles, motion estimation for inter, and intra prediction. To improve the human perceptual quality of videos deblocking lter and perceptual quality assessments are described in detail.

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H.264/AVC deblocking filter based on motion activity in video sequences

Cited by 3 publications

References 5 publications

Performance Analysis of Fast Block Matching Motion Estimation Algorithms

Performance Analysis of Fast Block Matching Motion Estimation Algorithms

Adaptive Modified Hexagon Based Search Motion Estimation algorithm

Entropy Coding for H.264 Video Compression

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