@inproceedings{ef63464c928b446c9c9761dc55efdfa5,
title = "Parallel rate-distortion optimised fast motion estimation algorithm for H.264/AVC using GPU",
abstract = "Recently, the parallel processing capability of the Graphics Processing Unit (GPU) has been employed for accelerating motion estimation in H.264/AVC encoder implementations. However, while implementing parallel motion estimation on GPU, the bit rate cost of the motion vector is generally ignored. This is due to the unavailability of the spatially predicted motion vectors, which leads to rate-distortion performance degradation. This paper presents a fast parallel motion estimation algorithm implemented on GPU using OpenCL to tackle this problem. The predicted motion vectors are estimated from temporally predicted motion vectors and used for evaluating the bit rate cost of the motion vectors simultaneously. The experimental results show that the proposed scheme achieves significant speedup and has comparable rate-distortion performance with respect to sequential fast motion estimation algorithm.",
keywords = "GPU, H.264/AVC, Motion estimation, OpenCL, Video coding",
author = "Shahid, {Muhammad Usman} and Ashfaq Ahmed and Enrico Magli",
year = "2013",
doi = "10.1109/PCS.2013.6737723",
language = "British English",
isbn = "9781479902941",
series = "2013 Picture Coding Symposium, PCS 2013 - Proceedings",
publisher = "IEEE Computer Society",
pages = "221--224",
booktitle = "2013 Picture Coding Symposium, PCS 2013 - Proceedings",
address = "United States",
note = "2013 Picture Coding Symposium, PCS 2013 ; Conference date: 08-12-2013 Through 11-12-2013",
}