By Josip Krapac, Frédéric Jurie (auth.), Nozha Boujemaa, Marcin Detyniecki, Andreas Nürnberger (eds.)

ISBN-10: 3540798595

ISBN-13: 9783540798590

This ebook constitutes the completely refereed post-workshop court cases of the fifth overseas Workshop on Adaptive Multimedia Retrieval, AMR 2007, held in Paris, France, in July 2007.

The 18 revised complete papers offered including 2 invited papers have been conscientiously chosen in the course of rounds of reviewing and development. The papers are geared up in topical sections on photo annotation, suggestions and consumer modelling, tune retrieval, fusion, P2P and middleware, databases and summarization, in addition to ontology and semantics.

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Additional resources for Adaptive Multimedia Retrieval: Retrieval, User, and Semantics: 5th International Workshop, AMR 2007, Paris, France, July 5-6, 2007 Revised Selected Papers

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In Figure 4 an example of RWR navigation is shown. In particular, the Gq graph displayed in Figure 3 is navigated (with k = 1) by starting from the query image Iq and crossing nodes R16 , R8 , R13 , I3 , T2 , I1 , R3 , respectively. 3 Limits of MMG Even if MMG with RWR is usually able to find some relevant terms for annotating a query image, it suffers some limits. First of all, the predicted terms are those that have been crossed most frequently during the graph navigation. It can be argued that using only frequency to evaluate the relevance of each term for annotating a new image is rather imprecise.

3. The Gq graph for the example depicted in Figure 2, assuming k = 1 affinity between the query image Iq and the terms in GMMG . For this task we find appropriate to adopt the random walk with restart (RWR) technique [13]. The basic idea of RWR is to consider a random walker that starts from node S and at each step chooses to follow an edge, randomly chosen from the available ones. , it restarts). The steady state probability that the random walker will find itself at node X, denoted uS (X), can be interpreted as a measure of affinity between X and S.

1 Introduction The use of digital cameras and camera phones has become widespread in recent years. As a main consequence, individuals make frequent use of home computers with the aim of building sizeable personal digital photo collections. Photo sharing through Internet has also become a common practice at present time. net3 , just to name a few. These archives of personal photo collections are growing at phenomenal rate, so that the need for effective and efficient techniques for managing color images becomes more and more pressing.

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Adaptive Multimedia Retrieval: Retrieval, User, and Semantics: 5th International Workshop, AMR 2007, Paris, France, July 5-6, 2007 Revised Selected Papers by Josip Krapac, Frédéric Jurie (auth.), Nozha Boujemaa, Marcin Detyniecki, Andreas Nürnberger (eds.)


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