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The creation and consumption of content, especially visual content, is ingrained into our modern world. This book contains a collection of texts centered on the evaluation of image retrieval systems. To enable reproducible evaluation we must create standardized benchmarks and evaluation methodologies. The individual chapters in this book highlight major issues and challenges in evaluating image retrieval systems and describe various initiatives that provide researchers with the necessary evaluation resources. In particular they describe activities within ImageCLEF, an initiative to evaluate cross-language image retrieval systems which has been running as part of the Cross Language Evaluation Forum (CLEF) since 2003. To this end, the editors collected contributions from a range of people: those involved directly with ImageCLEF, such as the organizers of specific image retrieval or annotation tasks; participants who have developed techniques to tackle the challenges set forth by the organizers; and people from industry and academia involved with image retrieval and evaluation generally. Mostly written for researchers in academia and industry, the book stresses the importance of combing textual and visual information – a multimodal approach – for effective retrieval. It provides the reader with clear ideas about information retrieval and its evaluation in contexts and domains such as healthcare, robot vision, press photography, and the Web.

Cross-language information retrieval. --- Image files. --- Image processing -- Digital techniques. --- Information retrieval -- Evaluation. --- Content-based image retrieval --- Image processing --- Image files --- Information retrieval --- Engineering & Applied Sciences --- Social Sciences --- Library & Information Science --- Computer Science --- Digital techniques --- Computational linguistics. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- CLIR (Cross-language information retrieval) --- Multilingual information retrieval --- Polyglot information retrieval --- Data processing --- Computer science. --- Computer system failures. --- Information storage and retrieval. --- Image processing. --- Bioinformatics. --- Computer Science. --- Information Storage and Retrieval. --- Image Processing and Computer Vision. --- System Performance and Evaluation. --- Computational Biology/Bioinformatics. --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Computational linguistics --- Machine translating --- Information storage and retrieva. --- Computer vision. --- Computer system performance. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Optical data processing. --- Computer failures --- Computer malfunctions --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Failures --- Optical equipment

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Theatrical science --- anno 1900-1999 --- Berlin

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