Region similarity based edge detection for motion estimation in H.264/AVC

スポンサーリンク

概要

• 論文の詳細を見る

• This paper introduces a block-based motion estimation algorithm based on projection with adaptive window size selection. By using one-dimensional (1-D) projection the original two-dimensional (2-D) block-matching problem is translated to a simpler 1D matching, which eliminates majority of potential pixel participation. In this paper, we propose an efficient fast motion estimation method by using region similarity detection (RSD) algorithm to reduce the encoding time. The proposed RSD algorithm effectively estimates the texture direction of the block to find the direction and then horizontal, vertical or diagonal projection is employed for SAD calculation. Experimental results show that the proposed algorithm achieves more than a 60% time reduction with negligible PSNR loss and bitrate increments.

著者

• Wang Jhing-fa

  Department Of Electrical Engineering National Cheng Kung University

• Paul Anand

  Department of Electronics Engineering, Hanyang University

• Bharanitharan K.

  Department of Electrical Engineering, Korea University

関連論文

• Region similarity based edge detection for motion estimation in H.264/AVC
• A Block-Based Architecture for Lifting Scheme Discrete Wavelet Transform(Image)
• Critical Band Subspace-Based Speech Enhancement Using SNR and Auditory Masking Aware Technique(Speech and Hearing)
• Novel Stroke Decomposition for Noisy and Degraded Chinese Characters Using SOGD Filters(Image Recognition, Computer Vision)
• Efficient Coding Translation of GSM and G.729 Speech Coders across Mobile and IP Networks(Speech and Hearing)
• VLSI Architecture and Implementation for Speech Recognizer Based on Discriminative Bayesian Neural Network(Special Section on Digital Signal Processing)

スポンサーリンク