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Titlebook: Analysis, Retrieval and Delivery of Multimedia Content; Nicola Adami,Andrea Cavallaro,Pierangelo Migliorat Book 2013 Springer Science+Busi

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期刊全称Analysis, Retrieval and Delivery of Multimedia Content
影响因子2023Nicola Adami,Andrea Cavallaro,Pierangelo Migliorat
视频video
发行地址Covers the latest technological advances in interactive multimedia services.Discusses the use of audio events for improving video scene segmentation.Examines video retrieval for multimedia repositorie
学科分类Lecture Notes in Electrical Engineering
图书封面Titlebook: Analysis, Retrieval and Delivery of Multimedia Content;  Nicola Adami,Andrea Cavallaro,Pierangelo Migliorat Book 2013 Springer Science+Busi
影响因子.Covering some of the most cutting-edge research on the delivery and retrieval of interactive multimedia content, this volume of specially chosen contributions provides the most updated perspective on one of the hottest contemporary topics. The material represents extended versions of papers presented at the 11.th. International Workshop on Image Analysis for Multimedia Interactive Services, a vital international forum on this fast-moving field.. .Logically organized in discrete sections that approach the subject from its various angles, the content deals in turn with content analysis, motion and activity analysis, high-level descriptors and video retrieval, 3-D and multi-view, and multimedia delivery. The chapters cover the finest detail of emerging techniques such as the use of high-level audio information in improving scene segmentation and the use of subjective logic for forensic visual surveillance. On content delivery, the book examines both images and video, focusing on key subjects including an efficient pre-fetching strategy for JPEG 2000 image sequences. Further contributions look at new methodologies for simultaneous block reconstruction and provide a trellis-based algor
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What Kind of Agency for Children?,ic concepts which are to be automatically detected as well. To have a coherent detection system, the various object detection algorithms use a common image description, a hierarchical region-based image model. The proposed method takes advantage of texture and geometric features to detect the captio
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Knowledge Production in Childhood Studies,ognition. Many approaches have been proposed to extract meaningful descriptors from images and classifying them in a supervised learning framework. In this chapter, we revisit the classic .-nearest neighbors (.-NN) classification rule, which has shown to be very effective when dealing with local ima
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https://doi.org/10.1007/978-3-658-13441-9action is still necessary for most algorithms in this field, in order for them to produce adequate results, these can be reduced making use of certain properties of graph-based image segmentation algorithms. Based on one of these algorithms a framework is proposed that tracks individual foreground o
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Other Legal and Ethical Issues, corpus of trajectories associated to a set of actions, a preliminary processing phase is carried out to characterize the paths as sequences of symbols. This representation turns the numerical representation of the coordinates into a syntactical description of the activity structure, which is succes
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