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AN EXTENDED SMALL DIAMOND SEARCH ALGORITHM FOR FAST BLOCK MOTION ESTIMATION
Chang-Uk Jeong,Takeshi Ikenaga,Satoshi Goto 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
In this paper, we propose a fast motion estimation algorithm that is suitable for searching both center-biased motion and large motion by applying the small diamond pattern used in some block-matching algorithms (BMA). The search will be terminated by a small diamond search (SDS) method after performing a large search based on a modified three-step search (3SS) strategy. The results of the experiment show an increase about 220% in the search speed compared to that of diamond search (DS) and efficient three-step search (E3SS) in a sequence that represent small motions in objects. Experimental results also demonstrate reasonable search points in the estimation of rough motions in high-resolution images, maintaining a performance better than other fast BMAs in terms of PSNR.
A NOVEL RATE CONTROL ALGORITHM for H.264/AVC
Zhao Min,Takeshi Ikenaga,Satoshi Goto 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
Rate control has become an important part in the whole video coding scheme in order to get obtain consecutive and high quality pictures under a certain bandwidth. This paper presents a novel rate control algorithm for H.264/AVC. Instead of the traditional Mean Absolute Difference (MAD) linear prediction model, which is proposed JVT-G012, a new model is proposed including both temporal and spatial information of MAD. Because calculation complexity of the rate control part is not high comparing with other parts, such as motion estimation, this novel algorithm does not focus on reducing the calculation complexity.
A High Throughput Multiple Transform Architecture for H.264/AVC Fidelity Range Extensions
Ma, Yao,Song, Yang,Ikenaga, Takeshi,Goto, Satoshi The Institute of Electronics and Information Engin 2007 Journal of semiconductor technology and science Vol.7 No.4
In this paper, a high throughput multiple transform architecture for H.264 Fidelity Range Extensions (FRExt) is proposed. New techniques are adopted which (1) regularize the $8{\times}8$ integer forward and inverse DCT transform matrices, (2) divide them into four $4{\times}4$ sub-matrices so that simple fast butterfly algorithm can be used, (3) because of the similarity of the sub-matrices, mixed butterflies are proposed that all the sub-matrices of $8{\times}8$ and matrices of $4{\times}4$ forward DCT (FDCT), inverse DCT (IDCT) and Hadamard transform can be merged together. Based on these techniques, a hardware architecture is realized which can achieve throughput of 1.488Gpixel/s when processing either $4{\times}4\;or\;8{\times}8$ transform. With such high throughput, the design can satisfy the critical requirement of the real-time multi-transform processing of High Definition (HD) applications such as High Definition DVD (HD-DVD) ($1920{\times}1080@60Hz$) in H.264/AVC FRExt. This work has been synthesized using Rohm 0.18um library. The design can work on a frequency of 93MHz and throughput of 1.488Gpixel/s with a cost of 56440 gates.
A Novel Fast Block Type Decision Algorithm for Intra Prediction in H.264/AVC High Profile
Tianruo Zhang,Guifen Tian,Takeshi Ikenaga,Satoshi Goto 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
The latest video coding standard H.264/AVC significantly increases video compression efficiency but also increases computation complexity. Intra prediction is an important part in H.264/AVC encoder and it’s also time consuming. This paper proposes a fast block type decision algorithm which can reduce intra prediction’s computation complexity with slight PSNR reduction. The relation between intra prediction block type and macrblocks’ frequency feature has been discussed. Based on these observations, this algorithm can select only one or two block type in 4×4, 8×8 and 16×16 intra prediction instead of three of them. Experimental results show that this algorithm is suitable to perform on large frame size sequences.