Journal ArticleDOI
An Efficient Priority-Based Reference Frame Selection Method for Fast Motion Estimation in H.264/AVC
Dongsan Jun,HyunWook Park +1 more
TLDR
The PRFS method computes the priorities of all reference frames using spatial and temporal correlation of the reference frame index and motion vectors, and selects candidate reference frames to reduce the number of reference frames for each ME block.Abstract:
The H.264/AVC achieves higher coding performance than the previous video coding standards, such as MPEG-2 and MPEG-4. In order to achieve this improved coding performance, H.264 adopts various advanced techniques including multiple reference frame motion estimation (MRF-ME), which requires very heavy encoding complexity in proportion to the number of reference frames. In this letter, we propose an efficient priority-based reference frame selection (PRFS) method to reduce the computational complexity. The PRFS method computes the priorities of all reference frames using spatial and temporal correlation of the reference frame index and motion vectors, and selects candidate reference frames to reduce the number of reference frames for each ME block. Experimental results show that the proposed method reduces the computational complexity of the MRF-ME and achieves similar coding performance to that of previous methods.read more
Citations
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Journal ArticleDOI
Efficient Motion and Disparity Estimation Optimization for Low Complexity Multiview Video Coding
Zhaoqing Pan,Yun Zhang,Sam Kwong +2 more
TL;DR: An efficient ME and DE algorithm for reducing the computational complexity of MVC that can be applied to not only the odd views but also the even views and the RD performance degradation is negligible.
Journal ArticleDOI
Fast reference frame selection based on content similarity for low complexity HEVC encoder
TL;DR: A fast reference frame selection algorithm for the HEVC encoder that efficiently removes the encoding complexity of the best reference frame decision process and the rate distortion performance degradation is negligible.
Journal ArticleDOI
A Fast Intra-Prediction Method in HEVC Using Rate-Distortion Estimation Based on Hadamard Transform
TL;DR: Among the many predefined modes, the intra‐prediction mode is chosen using the difference between the minimum and second minimum of the rate‐distortion cost estimation based on the Hadamard transform, which achieves a nearly similar coding performance to that of HEVC test model 2.1.
Journal ArticleDOI
An SAD-Based Selective Bi-prediction Method for Fast Motion Estimation in High Efficiency Video Coding
TL;DR: A selective bi‐prediction method is proposed to reduce the encoding complexity of HEVC by evaluating the statistical property of the sum of absolute differences in the motion estimation process and determining whether bi-prediction is performed.
Journal ArticleDOI
Efficient Inter Prediction Mode Decision Method for Fast Motion Estimation in High Efficiency Video Coding
TL;DR: The proposed EIPM method computes the priority of all inter prediction modes and performs ME only on a selected inter prediction mode, which reduces computational complexity arising from ME by up to 51.76% and achieves near similar coding performance compared to HEVC test model version 10.1.
References
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Journal ArticleDOI
Rate-distortion optimization for video compression
Gary J. Sullivan,Thomas Wiegand +1 more
TL;DR: Based on the well-known hybrid video coding structure, Lagrangian optimization techniques are presented that try to answer the question: what part of the video signal should be coded using what method and parameter settings?
Journal ArticleDOI
Analysis and complexity reduction of multiple reference frames motion estimation in H.264/AVC
TL;DR: This paper proposes a context-based adaptive method to speed up the multiple reference frames ME, and shows that the proposed algorithm can maintain competitively the same video quality as exhaustive search of several reference frames.
Journal ArticleDOI
Fast integer-pel and fractional-pel motion estimation for H.264/AVC
TL;DR: A hybrid Unsymmetrical-cross Multi-hexagon-grid Search (UMHexagonS) algorithm is introduced, which well solves the false motion vector estimation problem because of the local-minimum and can save 30–50% computation compared with the Full Fractional-pel Search scheme.
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