Adaptive Multimedia Retrieval: First International Workshop, by Gareth J. F. Jones (auth.), Andreas Nürnberger, Marcin

By Gareth J. F. Jones (auth.), Andreas Nürnberger, Marcin Detyniecki (eds.)

This booklet is a longer selection of contributions that wereoriginally subm- ted to the first overseas Workshop on Adaptive Multimedia Retrieval (AMR 2003), which used to be prepared as a part of the twenty sixth German convention on Arti?cial Intelligence (KI 2003),and held in the course of September 15–18,2003at the college of Hamburg, Germany. prompted by way of the general good fortune of the workshop – as printed through the stimulating surroundings in the course of the workshop and the variety of very and energetic individuals – we ?nally determined to edit a e-book in line with revised papers that have been first and foremost submitted to the workshop. additionally, we invited a few extra introductory contributions that allows you to be capable of supply a conclusive ebook on present subject matters within the sector of adaptive multimedia retrieval structures. we are hoping that we have been capable of prepare a stimulating selection of articles for the reader. we adore to thank the organizationcommittee of the twenty sixth German convention on Arti?cial Intelligence (KI 2003) for supplying the atmosphere and the admin- trative aid in understanding this workshop as a part of their software. particularly, we love to thank Christopher Habel for selling the workshop as a part of the convention application and Andreas Gun ¨ ther for his variety help during the association process.

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Extra resources for Adaptive Multimedia Retrieval: First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers

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Overview of architecture of system for building user models from logs of accesses to metadata for learning objects. 3 The Problems of Creating Metadata and the Metasaur Architecture The task of annotating existing documents with metadata is challenging and nontrivial because it is hard to be thorough and consistent, and the task is both demanding and boring, especially in systems with many existing documents and a large metadata term vocabulary [11]. A reflection of the recognition of the importance and difficulty of this problem of metadata markup is the growing number of tools which are exploring ways to support the task.

In spite of their potential, there are problems in exploiting ontologies. One is that ontologies are generally time consuming to construct [15]. It is, therefore, appealing to find ways to create ontologies automatically. The OntoExtract tool described in [16] is an example of one such system. Another challenge in exploiting ontologies relates to issues of interfaces. If we are to exploit ontologies as an aid in the metadata markup, we need to provide intuitive and effective interfaces to the ontology.

Not present in the training sets, images, which is done by selecting the keywords of the categories whose 2D MHMM’s yield highest likelihoods computed from the features extracted from the images to be annotated. 4 29 Distance-Based Discriminant Analysis In our work [36], we also take a statistical vantage point and consider the semantic augmentation task in the discriminant analysis framework [37–40], where one seeks to distinguish between two or more predefined semantic classes or categories of multimedia documents.

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