Weighted prediction in the H.264/MPEG AVC video coding standard

Boyce, Jill M.

doi:10.1109/iscas.2004.1328865

Cited by 65 publications

(50 citation statements)

References 3 publications

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“…1. The function can be further extended to incorporate the optional weighted prediction feature [33], which is not considered in this paper. The recursive computation can be significantly accelerated by caching values of where is part of a frame of the reference picture list.…”

Section: B Design Ofmentioning

confidence: 99%

Optimizing Selective ARQ for H.264 Live Streaming: A Novel Method for Predicting Loss-Impact in Real Time

Schier

Welzl

2012

IEEE Trans. Multimedia

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Abstract-This work proposes a quality-oriented, real-time capable prioritization technique for media units of H.264/AVC video streams. The derivation of estimates is based on the analysis of the macroblock partitioning, the spatial extents of temporal dependencies, and the length and strength of prediction chains existing among macroblocks, thus incorporating the expected impact of error propagation. It is demonstrated how the prioritization scheme can be beneficially integrated into live streaming systems which are characterized by tight timing constraints, with the focus on content-aware selective automatic repeat request mechanisms. Additionally, it is shown how potentially limited feedback can be used to adapt the estimation process to leverage prediction preciseness. The approach is compared against existing techniques in terms of practicability and efficiency, and tested under independent and bursty loss conditions in a wired and a wireless test setup. Moreover, the performance is examined when low-latency and constant bitrate video settings are enforced by using x264's novel encoding feature periodic-intra-refresh. Results of both experiments and simulations indicate that the proposed technique outperforms all reference techniques in nearly all test cases, and that the video quality can be further improved by incorporating receiver feedback.Index Terms-End-to-end distortion modeling, error propagation, H.264/AVC, live video streaming, packet loss, selective automatic repeat request (ARQ).

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Section: B Design Ofmentioning

confidence: 99%

Optimizing Selective ARQ for H.264 Live Streaming: A Novel Method for Predicting Loss-Impact in Real Time

Schier

Welzl

2012

IEEE Trans. Multimedia

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“…Basically, motion discontinuity can be viewed as motion unsmoothness or the change of motion patterns. The detection of motion discontinuity can be very useful in video content analysis or video coding performance improvement [9,23]. Since our class information, especially Class 2 information, can efficiently reflect the irregular motion patterns, it can be easily used for motion discontinuity detection.…”

Section: B Motion Discontinuity Detectionmentioning

confidence: 99%

Macroblock Classification Method for Video Applications Involving Motions

Lin

Sun²,

Chen³

et al. 2012

IEEE Trans. on Broadcast.

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Abstract-In this paper, a macroblock classification method is proposed for various video processing applications involving motions. Based on the analysis of the Motion Vector field in the compressed video, we propose to classify Macroblocks of each video frame into different classes and use this class information to describe the frame content. We demonstrate that this low-computation-complexity method can efficiently catch the characteristics of the frame. Based on the proposed macroblock classification, we further propose algorithms for different video processing applications, including shot change detection, motion discontinuity detection, and outlier rejection for global motion estimation. Experimental results demonstrate that the methods based on the proposed approach can work effectively on these applications.

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“…An alternative prediction approach that offers error resilience advantages is weighted prediction, which is already part of the H.264/AVC standard [51]. In practice, weighted prediction is usually applied along with MC, where two versions of motion compensated predictions from two individual past coded frames are weighted and combined together to predict the current frame [27], [31], [32].…”

Section: Rd Optimized Prediction For Error Resilient Video Codingmentioning

confidence: 99%

Optimizing Motion Compensated Prediction for Error Resilient Video Coding

Yang

Rose

2010

IEEE Trans. on Image Process.

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Abstract-This paper is concerned with optimization of the motion compensated prediction framework to improve the error resilience of video coding for transmission over lossy networks. First, accurate end-to-end distortion estimation is employed to optimize both motion estimation and prediction within an overall rate-distortion framework. Low complexity practical variants are proposed: a method to approximate the optimal motion via simple distortion and source coding rate models, and a source-channel prediction method that uses the expected decoder reference frame for prediction. Second, reference frame generation is revisited as a problem of filter design to optimize the error resilience versus coding efficiency tradeoff. The special cases of leaky prediction and weighted prediction (i.e., finite impulse response filtering), are analyzed. A novel reference frame generation approach, called "generalized source-channel prediction", is proposed, which involves infinite impulse response filtering. Experimental results show significant performance gains and substantiate the effectiveness of the proposed encoder optimization approaches.

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Weighted prediction in the H.264/MPEG AVC video coding standard

Cited by 65 publications

References 3 publications

Optimizing Selective ARQ for H.264 Live Streaming: A Novel Method for Predicting Loss-Impact in Real Time

Optimizing Selective ARQ for H.264 Live Streaming: A Novel Method for Predicting Loss-Impact in Real Time

Macroblock Classification Method for Video Applications Involving Motions

Optimizing Motion Compensated Prediction for Error Resilient Video Coding

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