By Chao Jiang, Ze-xun Geng, Xiao-feng Wei, Chen Shen (auth.), Wenjun Zhang, Xiaokang Yang, Zhixiang Xu, Ping An, Qizhen Liu, Yue Lu (eds.)
This ebook constitutes the refereed lawsuits of the ninth foreign discussion board on electronic television and instant Multimedia communique, IFTC 2012, Shanghai, China, November. The sixty nine revised complete papers awarded have been rigorously reviewed and chosen from a number of submissions. The papers are equipped in topical sections on snapshot processing and development reputation; photograph and video research; photograph caliber evaluation; textual content picture and speech processing; content material retrieval and safeguard; resource coding; multimedia conversation; new advances in broadband multimedia; human computing device interface; 3D video.
Read Online or Download Advances on Digital Television and Wireless Multimedia Communications: 9th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2012, Shanghai, China, November 9-10, 2012. Proceedings PDF
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Additional resources for Advances on Digital Television and Wireless Multimedia Communications: 9th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2012, Shanghai, China, November 9-10, 2012. Proceedings
Each column of eigenvectors U represents a basis function of the transformation. Supposing that the first K columns of U can represent the dominant structures of the whole image, we can reduce the training data Tq to TqK, where TqK = UqK ·Tq. In the experiment, we found that K=1 would be the best choice for efficiency. 2. Texture Classification. We use K-means algorithm to realize classification step and thus achieve texture segmentation results. The number of kinds is set as 3 in the experiments.
5) Document in several languages, including Greek, Arabic, Hindi, Nepalese, Bulgarian, Thai, Vietnamese and Hebrew. Each category has 100 document images and there are 500 test images in all. 2 Results and Analysis We compare the results of our present work with that of recently published papers [6, 8]. Both PCP  and PPA  are representations of the state-of-the-art methods, and they have outperformed the other techniques in the literatures. A detailed comparison result of three techniques is shown in Table 1 where we set C=4.
In the experiment, we found that K=1 would be the best choice for efficiency. 2. Texture Classification. We use K-means algorithm to realize classification step and thus achieve texture segmentation results. The number of kinds is set as 3 in the experiments. 1, we can obtain 3 kinds of segmented textures: Red region and yellow region represent cell nucleus and cell wall respectively, and green region extracts both extracellular matrices and cytoplasm. 2 Location of Glands Using Quaternion Color Edge Detection To realize automatic quantitative analysis of HE staining medical image, we should first locate the glands since the indicators of their number, density, area and perimeter are very useful to provide receptivity of the endometrium.