Titlebook: ImageCLEF; Experimental Evaluat Henning Müller,Paul Clough,Barbara Caputo Book 2010 Springer-Verlag Berlin Heidelberg 2010 Annotation.Image

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The Wikipedia Image Retrieval Taskon of Wikipedia images. The aim is to investigate the effectiveness of retrieval approaches that exploit textual and visual evidence in the context of a large and heterogeneous collection of images that are searched for by users with diverse information needs. This chapter presents an overview of th

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The Robot Vision Taskzation of a robot platform using visual place recognition. This is a key topic of research in the robotics community today. This chapter presents the goals and achievements of the first edition of the robot vision task. We describe the task, the method of data collection used and the evaluation proc

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Object and Concept Recognition for Image Retrievalcome an inherent part of the yearly ImageCLEF evaluation cycle with growing interest and participation from the research community. Although the task can be solved purely visually, the incorporation of multi–modal information such as EXIF (Exchangeable Image File Format) data, concept hierarchies or

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The Medical Image Classification Taskmages into a hierarchical classification task with a very large number of potential classes. Here, we describe how the database and the objectives changed over the years and how state–of–the–art approaches from machine learning and computer vision were shown to outperform the nearest neighbor-based

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Revisiting Sub–topic Retrieval in the ImageCLEF 2009 Photo Retrieval Taskch as ad hoc document retrieval. This ranking strategy assumes independence among document relevance assessments. This assumption, however, often does not hold, for example in the scenarios where redundancy in retrieved documents is of major concern, as it is the case in the sub–topic retrieval task

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Knowledge Integration using Textual Information for Improving ImageCLEF Collectionse medical retrieval tasks. Although the different proposed tasks include both visual and textual information, the diverse approaches applied by the participants also include the use of only one type of information. The SINAI group specializes in the management of textual collections. For this reason

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Tatiana Tommasi,Thomas Deselaerserst werden verschiedene, allgemeine Aspekte von Superfluiden in h?heren B?ndern erl?utert, bevor tats?chlich die Ph?nomenologie der Rekondensation in h?heren B?ndern diskutiert wird. Eng damit verknüpft sind thermodynamische Prozesse, welche anhand experimenteller Beobachtungen eindeutig nachgewies