Advances in Image and Graphics Technologies: Chinese by Tieniu Tan, Qiuqi Ruan, Shengjin Wang, Huimin Ma, Kaiqi

By Tieniu Tan, Qiuqi Ruan, Shengjin Wang, Huimin Ma, Kaiqi Huang

This e-book constitutes the referred court cases of the eighth China convention on photograph and photos applied sciences and functions, IGTA 2014, held in Beijing, China, in June 2014. The 39 papers awarded have been rigorously reviewed and chosen from one hundred ten submissions. They hide numerous facets of analysis in photograph processing and pix and similar issues, together with item detection, development acceptance, item monitoring, class, photograph segmentation, reconstruction, etc.

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Extra resources for Advances in Image and Graphics Technologies: Chinese Conference, IGTA 2014, Beijing, China, June 19-20, 2014. Proceedings

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Xu = Rij where N  Wˆij ,kI ij ,k k 1 (8) = I k the k input image in the sequence. th However, applying equation (8) directly will produce an unsatisfactory result. Wherever weights change quickly, disturbing seams will appear. To address the seam problem, this paper uses a technique inspired by Burt and Adelson [16]. Their original technique seamlessly blends input images guided by an alpha mask, and works at multi-resolutions using pyramidal image decomposition. This technique is adapted to our case, where there are images and normalized weight maps that act as alpha mask.

References 1. : Overview of the H. 264/AVC Video Coding Standard. Circuits and Systems for Video Technology 13(7), 560–576 (2003) 2. 264 Intra Prediction Algorithm. In: Design, Automation & Test in Europe Conference & Exhibition, pp. 1–6. Nice (2007) 56 W. Wang et al. 3. 264 Intra prediction. Transactions on Circuits and Systems for Video Technology 20(8), 1122–1132 (2010) 4. 264 High Profile. In: International Conference on Acoustics, Speech and Signal Processing, Las Vegas, pp. 681–684 (2008) 5.

2 Mode Decision for Chroma 8×8 Block Intra Prediction In the intra prediction mode decision algorithm, the conventional calculation times of Rate-Distortion-Optimization is 4×(9×16+4)=592, the prediction mode of chroma block is used as the large exterior loop. By reducing the number of chroma candidate prediction modes, a significant computational saving can be achieved. The texture complexity of chroma blocks on the main prediction directions are calculated by above equations (1) (5). And m is the size of chroma blocks.

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