Enhanced Inter Mode Decision Based on Contextual Prediction for P-Slices in H.264/AVC Video Coding

Abstract

We propose a fast macroblock mode prediction and decision algorithm based on contextual information for Pslices in the H.264/AVC video standard, in which the mode prediction part is composed of intra and inter modes. There are nine 4×4 and four 16×16 modes in the intra mode prediction, and seven block types exist for the best coding gain based on rate-distortion optimization. This scheme gives rise to exhaustive computations (search) in the coding procedure. To overcome this problem, a fast inter mode prediction scheme is applied that uses contextual mode information for P-slices. We verify the performance of the proposed scheme through a comparative analysis of experimental results. The suggested mode search procedure increased more than 57% in speed compared to a full mode search and more than 20% compared to the other methods.

Efficient MPEG-4 to H.264 transcoding exploiting MPEG-4 block modes, motion vectors, and residuals

“…• MPEG-4 SKIP and 16x16 Inter modes are used most often in video coding applications and have the most impact on computational complexity (which is not to say that 8x8 should be ignored) [14].…”

Contour Offset Approach to Generate Tool Path for Polyhedral Surfaces Machining

“…Inspired by their work, Li [8] maps mesh surfaces into a planar region by means of ABF (angle-based flattening) and then inversely maps the offset curves on 2D to a tool path on the original surface. Constructing a novel mapping style, Kim and Yang [9] deform the cutter location (CL) surface into a new surface and then inversely map the tool path generated by slicing the deformed CL surface to an iso-cusp tool path. Latterly, Lee [10] further extend the conventional drive surface and guide plane concepts, and use a series of plane driven by tool path interval to slice the CL surface to generate the tool path.…”

Fast Inter Mode Decision Algorithm for H.264/AVC

“…And it decreases 30% of coding time. Reference [5] divides the modes of inter prediction into two groups, which chooses the mode by using the spatial and temporal correlation, and decreases 33.98%~42.45% of the coding time. Reference [6] uses gliding property of the video sequence to decrease the candidate coding modes, and reduces 30% of the coding time.…”