RD Optimized Coding for Motion Vector Predictor Selection

Laroche, Guillaume; Jung, Joël; Pesquet‐Popescu, Béatrice

doi:10.1109/tcsvt.2008.2004921

Cited by 64 publications

(35 citation statements)

References 10 publications

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“…2) Motion Vector Competition overview: The MVComp tool [3] has been integrated in the JM KTA for improving H.264/AVC. In order to improve the motion vector prediction this tool proposes a competing framework which optimally selects the predictors in competition by a rate-distortion criterion.…”

Section: State Of the Artmentioning

confidence: 99%

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Data hiding of motion information in chroma and luma samples for video compression

Thiesse

Jung

Antonini

2010

2010 IEEE International Workshop on Multimedia Signal Processing

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Abstract-2010 appears to be the launching date for new compression activities intended to challenge the current video compression standard H.264/AVC. Several improvements of this standard are already known like competition-based motion vector prediction. However the targeted 50% bitrate saving for equivalent quality is not yet achieved.In this context, this paper proposes to reduce the signaling information resulting from this vector competition, by using data hiding techniques. As data hiding and video compression traditionally have contradictory goals, a study of data hiding is first performed. Then, an efficient way of using data hiding for video compression is proposed. The main idea is to hide the indices into appropriately selected chroma and luma transform coefficients. To minimize the prediction errors, the modification is performed via a rate-distortion optimization.Objective improvements (up to 2.3% bitrate saving) and subjective assess ment of chroma loss are reported and analyzed for several sequences.

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Section: State Of the Artmentioning

confidence: 99%

“…For this study, n = 2 (the best MVComp configuration) and the index i is consequently binary. More detailed informations on MVComp can be found in [3].…”

Section: State Of the Artmentioning

confidence: 99%

Data hiding of motion information in chroma and luma samples for video compression

Thiesse

Jung

Antonini

2010

2010 IEEE International Workshop on Multimedia Signal Processing

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“…In [3], a proportion of the motion information in the total bit stream of nearly 35% is reported at low bit rate. To reduce the cost of this motion information, a method based on a spatio-temporal motion vector predictor competition (MVComp) is proposed.…”

Section: B Recent Motion Vector Coding Improvementsmentioning

confidence: 99%

“…Several improvements are already known and gathered in the JM KTA (Key Technical Area) [2]. In particular, MV-Comp [3] efficiently acts on the motion coding. However, the coding cost of motion vectors remains high and its reduction is a major way to improve the next standard.…”

Section: Introductionmentioning

confidence: 99%

Motion vector forecast and mapping (MV-FMap) method for entropy coding based video coders

Tanou

Thiesse

Jung

et al. 2010

2010 IEEE International Workshop on Multimedia Signal Processing

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Abstract-Since the finalization of the H.264/AVC standard and in order to meet the target set by both ITU-T and MPEG to define a new standard that reaches 50% bit rate reduction compared to H.264/AVC, many tools have efficiently improved the texture coding and the motion compensation accuracy. These improvements have resulted in increasing the proportion of bit rate allocated to motion information. Thus, the bit rate reduction of this information becomes a key subject of research. This paper proposes a method for motion vector coding based on an adaptive redistribution of motion vector residuals before entropy coding. Motion information is gathered to forecast a list of motion vector residuals which are redistributed to unexpected residuals of lower coding cost. Compared to H.264/AVC, this scheme provides systematic gain on tested sequences, and 2.3% in average, reaching up to 4.9% for a given sequence.

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“…Yuri Vatis et al developed a two-dimensional non-separable interpolation filter, which is independently calculated for each frame by minimizing the prediction error energy [3]. Joel Jung et al proposed a competitive spatio-temporal scheme for the prediction of the motion vectors, which optimally selected via a rate-distortion criterion that considers the cost of the residual of the motion vector and the cost of the prediction mode [4]. Hao Chen et al proposed a dynamic texture modeling for P slice, which applies prediction to residues of the current inter-prediction scheme [5].…”

Section: Introductionmentioning

confidence: 99%

Effective Video Coding algorithm for Substation Video and Environment Surveillance System

Chen¹,

Gao²

2014

Journal of International Council on Electrical Engineering

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-Guangdong Power Grid Corporation has put forward and implemented based on IP network digital, Linux, industrial grade layered architecture of substation video and environment surveillance system. In order to improve video coding efficiency and meet requirements of users on HD images resolution of substation video and environment surveillance system, this paper proposes an improved implicit motion information inter prediction algorithm for P slice in H.264 based on the spatio-temporal adaptive localized learning model. This algorithm essentially takes advantage of the temporal and spatial correlations that may exist within frames at the block level, and reduces the bits required for encoding motion information while retaining or even improving encoding quality. The simulation results show that the proposed algorithm improves encoding efficiency compared with the H.264 standard with 0.10 dB (QCIF) and 0.17 dB (WQVGA) average PSNR gain, with relatively increase in complexity.

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RD Optimized Coding for Motion Vector Predictor Selection

Cited by 64 publications

References 10 publications

Data hiding of motion information in chroma and luma samples for video compression

Data hiding of motion information in chroma and luma samples for video compression

Motion vector forecast and mapping (MV-FMap) method for entropy coding based video coders

Effective Video Coding algorithm for Substation Video and Environment Surveillance System

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