Title :
Low complexity H.264/AVC spatial resolution transcoding in the transform domain
Author :
Bacquet, A.-S. ; Deknudt, C. ; Corlay, P. ; Coudoux, F.-X. ; Gazalet, M.
Author_Institution :
OAE Dept., Univ. of Valenciennes, Valenciennes, France
Abstract :
In this paper, we propose a novel efficient downsizing video transcoder for H.264/AVC low bit-rate compressed images. The algorithm accounts for new coding tools introduced by the H.264/AVC standard and applies directly on the transformed coefficients, thus reducing greatly the computational complexity of the transcoding algorithm. In a first approach, we restrict ourselves to 4×4 blocks intra-coded frames. Simulation results are presented to illustrate the performances of the proposed method. In particular, we show that the computational complexity is greatly reduced compared to the optimal full decode-full recode approach, while giving similar reconstructed video quality at low bit rates.
Keywords :
computational complexity; data compression; transcoding; video coding; H.264/AVC low bit-rate compressed images; computational complexity; low complexity H.264/AVC spatial resolution transcoding; optimal full decode-full recode approach; transcoding algorithm; transform domain; video transcoder; Automatic voltage control; Encoding; IIR filters; Lead; Prediction algorithms; Time division multiplexing; MPEG-4/H.264 AVC; spatial resolution reduction; transcoding architecture; video transcoding;
Conference_Titel :
Electronics, Circuits, and Systems (ICECS), 2010 17th IEEE International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-8155-2
DOI :
10.1109/ICECS.2010.5724556