By Chengjun Zhu, Yuanxin Ouyang, Lei Gao, Zhenyong Chen, Zhang Xiong (auth.), Ernesto Damiani, Kokou Yetongnon, Richard Chbeir, Albert Dipanda (eds.)
This booklet constitutes the completely refereed post-conference lawsuits of the second one overseas convention on on Signal-Image know-how and Internet-Based platforms, SITIS 2006, held in Hammamet, Tunisia, in December, 2006.
The 33 complete papers have been conscientiously reviewed and chosen from the easiest papers offered on the convention and are provided in revised and prolonged shape. a part of the papers concentrate on the rising modeling, illustration and retrieval thoughts that bear in mind the volume, variety and variety of data available in disbursed computing atmosphere. different contributions are dedicated to rising and novel strategies, architectures and methodologies for developing an interconnected global during which details should be exchanged simply, projects might be processed collaboratively, and groups of clients with equally pursuits will be shaped whereas addressing safety threats which are current greater than ever before.
Read Online or Download Advanced Internet Based Systems and Applications: Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, Hammamet, Tunisia, December 17-21, 2006, Revised Selected Papers PDF
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Additional info for Advanced Internet Based Systems and Applications: Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, Hammamet, Tunisia, December 17-21, 2006, Revised Selected Papers
However, unfortunately, XQuery is inadequate for vector-based feature query. 1. xml according to the similarity of the average histogram feature between the segment and the sample clip. If the similarity is less than a threshold T, return the id of the segment. In addition, order the satisfied segments by the similarities ascending. To achieve these query goals, we should introduce the expressions for similarity measurement into XQuery. Top-K query: In video retrieval, users are often interested only in the top few results.
In , camera motion parameters are employed to discern between diﬀerent kinds of sport. More recent approaches use classiﬁcation rules from low/mid level features, according to a predeﬁned ontology of the content domain. In , an ontology infrastructure for semantic annotation of objects in car racing and football sports video is presented.  presents an annotation engine that uses reasoning algorithms to automatically annotate and retrieve events in football video. A rule-based system for automatic annotation of videos is presented in .
The number of clusters (and the size of the ﬁngerprint) can be reduced, by a cluster ﬁltering algorithm . Fingerprint Construction. At this point, every surrogate’s subview has been mapped on a vector whose dimension is the set of ”relevant” clusters, and whose values are the degrees of membership to the corresponding cluster. The set of these vectors for a given Programme Unit represents the ﬁngerprint for that unit. The cross-referencing of these vectors, visualised as the Cartesian product of the individual components of the ﬁngerprint, provides an extended ﬁngerprint.
Advanced Internet Based Systems and Applications: Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, Hammamet, Tunisia, December 17-21, 2006, Revised Selected Papers by Chengjun Zhu, Yuanxin Ouyang, Lei Gao, Zhenyong Chen, Zhang Xiong (auth.), Ernesto Damiani, Kokou Yetongnon, Richard Chbeir, Albert Dipanda (eds.)