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 e-book constitutes the refereed lawsuits of the ninth overseas discussion board on electronic television and instant Multimedia communique, IFTC 2012, Shanghai, China, November. The sixty nine revised complete papers offered have been conscientiously reviewed and chosen from various submissions. The papers are equipped in topical sections on picture processing and development popularity; picture and video research; picture caliber evaluation; textual content photograph and speech processing; content material retrieval and safeguard; resource coding; multimedia conversation; new advances in broadband multimedia; human desktop 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 info 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
1 Introduction Document skew estimation and correction refer to estimate the skew angle of digital document and correct it to zero-skewed image. It is important for document analysis system (DAS) where page layout analysis, optical character recognition (OCR), or document retrieval usually need zero-skewed input image. Many skew estimation and correction algorithms have been developed for general document processing. Projection profile analysis (PP) method [1,2] is a popular method, in which the horizontal or vertical projection profile of the document image at a number of angles close to the expected orientation is computed.
K-nearest neighbor search: Fast gpu-based implementations and application to highdimensional feature matching. In: International Conference on Image Processing, pp. 3757–3760. IEEE Press, Hong Kong (2010) 2. : A non-local algorithm for image denoising. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 60–65. IEEE Press, San Diego (2005) 3. : Image denoising by sparse 3-D transform-domain collaborative ﬁltering. IEEE Trans. Image Process. 16, 2080–2095 (2007) 4.
37–45, 2012. © Springer-Verlag Berlin Heidelberg 2012 38 M. Han, L. Zhou, and Y. Xu the HE staining medical images such as the number, density, area and perimeter of the glands, which are regarded as key indicators for doctor’s diagnosis, through digital image processing technics. Since the traditional color image processing technics usually treat the three color channels (r,g,b) separately, the interrelationship between the color channels might be destroyed and erroneous analyses would be introduced in the processing results.
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 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.)