Efficient intra- and inter-mode selection algorithms for H.264/AVC
Yu, Andy C., Ngi, Ngan King and Martin, Graham R.. (2006) Efficient intra- and inter-mode selection algorithms for H.264/AVC. Journal of Visual Communication and Image Representation, Volume 17 (Number 2). pp. 322-344. ISSN 1047-3203Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.jvcir.2005.05.006
Intra-frame mode selection and inter-frame mode selection are new features introduced in the H.264 standard. Intra-frame mode selection dramatically reduces spatial redundancy in I-frames, while inter-frame mode selection significantly affects the output quality of P-/B-frames by selecting an optimal block size with motion vector(s) or a mode for each macroblock. Unfortunately, this feature requires a myriad amount of encoding time especially when a brute force full-search method is utilised. In this paper, we propose fast mode selection algorithms tailored for both intra-frames and inter-frames. The success of the intra-frame algorithm is achieved by reducing the computational complexity of the Lagrangian rate-distortion optimisation evaluation. Two proposed fast inter-frame mode algorithms incorporate several robust and reliable predictive factors, including intrinsic complexity of the macroblock, mode knowledge from the previous frame(s), temporal similarity detection and the detection of different moving features within a macroblock. This information is used to reduce the number of search operations. Extensive simulations on different classes of test sequences demonstrate a speed up in encoding time of up to 86% compared with the H.264 benchmark. This is achieved without any significant degradation in picture quality and compression ratio.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Divisions:||Faculty of Science > Computer Science|
|Journal or Publication Title:||Journal of Visual Communication and Image Representation|
|Publisher:||Academic Press Inc Elsevier Science|
|Official Date:||April 2006|
|Number of Pages:||23|
|Page Range:||pp. 322-344|
|Access rights to Published version:||Restricted or Subscription Access|
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