6533b82cfe1ef96bd128f63b

RESEARCH PRODUCT

Reducing complexity in H.264/AVC motion estimation by using a GPU

José M. ClaverGerardo Fernández-escribanoJosé L. SánchezJosé Luis MartínezRafael Rodríguez-sánchez

subject

SpeedupComputational complexity theoryComputer science020206 networking & telecommunicationsData_CODINGANDINFORMATIONTHEORY02 engineering and technologyParallel computingCUDAAlgorithmic efficiency0202 electrical engineering electronic engineering information engineeringWorst-case complexity020201 artificial intelligence & image processingContext-adaptive binary arithmetic codingData compressionContext-adaptive variable-length coding

description

H.264/AVC applies a complex mode decision technique that has high computational complexity in order to reduce the temporal redundancies of video sequences. Several algorithms have been proposed in the literature in recent years with the aim of accelerating this part of the encoding process. Recently, with the emergence of many-core processors or accelerators, a new approach can be adopted for reducing the complexity of the H.264/AVC encoding algorithm. This paper focuses on reducing the inter prediction complexity adopted in H.264/AVC and proposes a GPU-based implementation using CUDA. Experimental results show that the proposed approach reduces the complexity by as much as 99% (100x of speedup) while maintaining the coding efficiency.

yearjournalcountryeditionlanguage
2011-10-01
10.1109/mmsp.2011.6093785http://dx.doi.org/10.1109/MMSP.2011.6093785