By Ling Guan, Yifeng He, Sun-Yuan Kung
"As multimedia functions became a part of modern everyday life, a variety of paradigm-shifting applied sciences in multimedia processing have emerged over the past decade. considerably up to date with 21 new chapters, Multimedia photograph and Video Processing, moment version explores the latest advances in multimedia study and purposes. This variation offers a accomplished therapy of multimedia information
"In the previous 10 years, we've witnessed major advances in multimedia study and purposes. a large number of new applied sciences were invented for varied primary multimedia study difficulties. they're supporting the computing machines higher understand, manage, and retrieve the multimedia content material. With the speedy improvement of multimedia and software program, these days we will be able to simply make, entry and percentage enormous multimedia contents, which may now not be imagined in basic terms 10 years before"-- Read more...
summary: "As multimedia purposes became a part of modern way of life, a variety of paradigm-shifting applied sciences in multimedia processing have emerged over the past decade. considerably up to date with 21 new chapters, Multimedia photograph and Video Processing, moment variation explores the latest advances in multimedia study and functions. This version offers a complete therapy of multimedia info mining, defense, platforms, coding, seek, undefined, and communications in addition to multimodal details fusion and interplay. essentially divided into seven components, the e-book starts off with a piece on criteria, primary tools, layout concerns, and average architectures. It then specializes in the coding of video and multimedia content material prior to masking multimedia seek, retrieval, and administration. After reading multimedia protection, the booklet describes multimedia communications and networking and explains the structure layout and implementation for multimedia photo and video processing. It concludes with a bit on multimedia structures and purposes. Written by means of the most well known specialists within the box, this up-to-date variation presents readers with the most recent examine in multimedia processing and equips them with complex suggestions for the layout of multimedia systems"--
"In the previous 10 years, we now have witnessed major advances in multimedia learn and functions. a large number of new applied sciences were invented for numerous basic multimedia examine difficulties. they're aiding the computing machines greater understand, arrange, and retrieve the multimedia content material. With the swift improvement of multimedia and software program, these days we will be able to simply make, entry and percentage enormous multimedia contents, which can now not be imagined in simple terms 10 years sooner than"
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Additional info for Multimedia image and video processing
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In this section, we first review some basic annotation algorithms which have been successfully applied for annotation tasks, followed by some classic algorithms that fuse the different feature cues and explore the concept correlations. 1 Typical Multimedia Annotation Algorithms Kernel methods and ensemble classifiers have gained great success since they are proposed in the late 1990s. As the typical discriminative models, they become prevailing in real annotation systems [62]. Generally speaking, when there are enough training samples, discriminative models result in more accurate classification results than generative models [66].
Specifically, occlusion is modeled by an error component e, that is, y = Ax + e = [A I][x e]T = Bw, where B = [A I], w = [x e]T , and further assuming that e is sparse as well. This model can thus deal with occlusion of arbitrary magnitude as long as the number of occluded pixels does not exceed certain threshold. Given that EBP is bounded by EBP(A) ≤ (m + 1)/3 , the model is able to handle up to occlusion of about 33% of the entire image. However, in their experiments it was noticed that the algorithm works well way beyond 33% occlusion.
In A. C. Campilho and M. S. Kamel, ed. ICIAR, volume 5112 of Lecture Notes in Computer Science, pp. 263–270. Springer, 2008. 16. -M. -Y. -P. Jia. Ontoalbum: An ontology based digital photo management system. In ICIAR ’08: Proceedings of the 5th international conference on Image Analysis and Recognition, pp. 263–270, 2008. 17. -T. Chu, S. K. -A. Y. Yu, G. Bradski, and A. Y. Ng. Map-reduce for machine learning on multicore. Advances in Neural Information Processing Systems, 2006. 18. -S. Chua, J.