Efficient H.264/AVC Video Encoder Where Pattern Is Used as Extra Mode for Wide Range of Video Coding

IEEE Signal Process. Lett.

2007

Abstract-Very low bit-rate video coding algorithms using predefined regular-shaped patterns to segment out moving objects at macroblock level have exhibited good potential for improved coding efficiency when embedded in the H.264 standard as an extra mode. Even the best-matched regular-shaped pattern from a predefined codebook cannot approximate the shape of the object well, and there is no guarantee that even a regular-shaped object will have a close match with one of the limited number of predefined patterns. Intuitively, improved coding performance can be achieved if patterns are dynamically extracted from the video content. This letter presents a content-based pattern generation (CPG) algorithm for a set of macroblocks, which is shown optimal when only one pattern is allowed to represent the entire set. Coupling CPG, generating a pattern codebook after clustering the macroblocks into several disjoint sets, with any pattern selection algorithm outperforms the existing regular-shaped pattern-based coding while both embedded in H.264.

Section: Introductionmentioning

confidence: 99%

An Optimal Content-Based Pattern Generation Algorithm

IEEE Signal Process. Lett.

2007

“…This approach is radically different from H.264 sub-blocking as ME and MC is carried out only for the selected patterns, thus keeping the computational complexity in check. Paul et al [9] successfully included PVC as an extra mode in H.264 which outperforms the existing H.264 coder.…”

Section: Introductionmentioning

confidence: 99%

Pattern based Residual Coding for H.264 Encoder

Fourth International Conference on Information Technology (ITNG'07)

2007

Self Cite

Video coding representing the moving region in Macroblock by pattern templates has already established its superiority over H.264 in low bit rate areas. In this approach, moving region covered by best matched pattern template is used to estimate the motion and encode the corresponding residual error. Due to the occlusion sometimes motion estimation of moving region using pattern template cannot reflect the true object movement. Moreover, uncovered moving region by pattern template may generate the wrong motion information. In this paper, we propose a novel pattern based residual coding covered by best matched template using full block motion vector instead of pattern covered moving region. Thus, unlike the present approach, it can avoid wrong motion vector due to the occlusion. Since this approach uses large block (16×16) motion estimation information, no computational overhead is needed compared to the H.264 video coding standard. The experimental results confirm that this new approach successfully reduces the bits stream significantly and as a result improves the rate-distortion performance compared to the existing pattern-based video coding as well as H.264 standard.

“…Paul et al [3][4] [5] extended and embedded this approach into the H.264 standard as an extra mode. This pattern-based video coding (PVC) algorithm focused on the moving regions (a binary representation of pixels in motion) of the MBs, through the use of a set of regular 64-pixel pattern templates (see Figure 1), from a pattern codebook (PC).…”

Section: Introductionmentioning

confidence: 99%

Threshold-free pattern-based low bit rate video coding

2008 15th IEEE International Conference on Image Processing

2008

Self Cite

Pattern-based video coding (PVC) has already established its superiority over H.264 in low bit rate areas because of an extra pattern-mode to segment out the arbitrary shape of the moving region in macroblock. To determine the pattern-mode, the PVC however uses three thresholds which sometimes depend on the content of the video sequences. Thus, the best performance of the PVC may not be achieved using the pattern-mode. In this paper, a novel PVC scheme is proposed which does not use any thresholds to determine the pattern-mode and hence more efficient performance is achieved without knowing the content of the video sequences. In addition, efficient pattern similarity metric and new Lagrangian multipliers are also developed. The experimental results confirm that this new scheme significantly improves the quality compared to the existing PVC as well as H.264 video coding standard.