Explicit bit minimization for motion-compensated video coding

Hoang, D.T.; Long, Philip M.; Vitter, Jeffrey Scott

doi:10.1109/dcc.1994.305925

Cited by 8 publications

(3 citation statements)

References 11 publications

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“…In particular, the H.263 standard is similar enough to H.261 that it seems clear that these methods will work well with H.263. As a case in point, the bitminimization strategy has been applied in [12] within a nonstandard quadtree-based coder that chooses motion vectors to optimize a hierarchical encoding of the motion information within a block-matching framework with variable block sizes.…”

Section: Discussionmentioning

confidence: 99%

Efficient cost measures for motion estimation at low bit rates

Hoang¹,

Long

Vitter³

1998

IEEE Trans. Circuits Syst. Video Technol.

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We present and compare methods for choosing motion vectors for block-based motion-compensated video coding. The primary focus is on videophone and videoconferencing applications, where low bit rates are necessary, where motion is usually limited, and where the amount of computation is also limited. In a typical block-based motion-compensated video coding system, motion vectors are transmitted along with a lossy encoding of the residuals. As the bit rate decreases, the proportion required to transmit the motion vectors increases. We provide experimental evidence that choosing motion vectors explicitly to minimize rate (including motion vector coding), subject to implicit constraints on distortion, yields better rate-distortion tradeoffs than minimizing some measure of prediction error. Minimizing a combination of rate and distortion yields further improvements. Although these explicit-minimization schemes are computationally intensive, they provide invaluable insight which we use to develop practical algorithms. We show that minimizing a simple heuristic function of the prediction error and the motion vector code length results in rate-distortion performance comparable to explicit-minimization schemes while being computationally feasible. Experimental results are provided for coders that operate within the H.261 standard.

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Section: Discussionmentioning

confidence: 99%

Efficient cost measures for motion estimation at low bit rates

Hoang¹,

Long

Vitter³

1998

IEEE Trans. Circuits Syst. Video Technol.

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“…Motion compensation typically improves compression by about a factor of three compared to intra-picture (I-picture) coding. It works at the macroblock level [8].…”

Section: Proceedings Of the 7 Th Iceengmentioning

confidence: 99%

Object based video coding algorithm

Sallam¹,

Shaarawy²,

Elmowafy³

et al. 2010

The International Conference on Electrical Engineering

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This paper introduces a new trend in video compression that based on content based coding this solution called Object Based Video Coding (OBVC). A new solution for Discrete Cosine Transform (DCT) used in video compression is presented. This solution uses the Artificial Neural Networks (ANNs) and has been implemented and tested with the OBVC. This paper tries to present a solution based on OBVC and ANN to speed-up the encoding and decoding processes for video compression and get more compression ratio.

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“…To form a generalized finite automata-based compact representation of video sequence, the GFA modeling takes advantages of the binary fractal similarity of the video sequence in the wavelet domain. After exploring the similarities we get compact generalized finite automata representation of video [58][59]. Such schemes significantly outperform the H.26X [60] series coding schemes in rate distortion performance and retain an acceptable perceptual quality of the video.…”

Section: Related Work On Automata Theorymentioning

confidence: 99%

A Review on Block Matching Motion Estimation and Automata Theory based Approaches for Fractal Coding

Kamble¹,

Thakur²,

Bajaj³

2016

IJIMAI

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---Fractal compression is the lossy compression technique in the field of gray/color image and video compression. It gives high compression ratio, better image quality with fast decoding time but improvement in encoding time is a challenge. This review paper/article presents the analysis of most significant existing approaches in the field of fractal based gray/color images and video compression, different block matching motion estimation approaches for finding out the motion vectors in a frame based on inter-frame coding and intra-frame coding i.e. individual frame coding and automata theory based coding approaches to represent an image/sequence of images. Though different review papers exist related to fractal coding, this paper is different in many sense. One can develop the new shape pattern for motion estimation and modify the existing block matching motion estimation with automata coding to explore the fractal compression technique with specific focus on reducing the encoding time and achieving better image/video reconstruction quality. This paper is useful for the beginners in the domain of video compression.

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Explicit bit minimization for motion-compensated video coding

Cited by 8 publications

References 11 publications

Efficient cost measures for motion estimation at low bit rates

Efficient cost measures for motion estimation at low bit rates

Object based video coding algorithm

A Review on Block Matching Motion Estimation and Automata Theory based Approaches for Fractal Coding

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