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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Image Information Mining System Evaluation Using Information-Theoretic Measures | EURASIP Journal on Applied Signal Processing 2005 14 2153-2163 2005 Hindawi Publishing Corporation Image Information Mining System Evaluation Using Information-Theoretic Measures Herbert Daschiel German Aerospace Center DLR Remote Sensing Technology Institute IMF Oberpfaffenhofen 82230 Wessling Germany Email herbert.daschiel@dlr.de Mihai Datcu German Aerospace Center DLR Remote Sensing Technology Institute IMF Oberpfaffenhofen 82230 Wessling Germany Email mihai.datcu@dlr.de Received 18 December 2003 Revised 2 September 2004 During the last decade the exponential increase of multimedia and remote sensing image archives the fast expansion of the world wide web and the high diversity of users have yielded concepts and systems for successful content-based image retrieval and image information mining. Image data information systems require both database and visual capabilities but there is a gap between these systems. Database systems usually do not deal with multidimensional pictorial structures and vision systems do not provide database query functions. In terms of these points the evaluation of content-based image retrieval systems became a focus of research interest. One can find several system evaluation approaches in literature however only few of them go beyond precision-recall graphs and do not allow a detailed evaluation of an interactive image retrieval system. Apart from the existing evaluation methodologies we aim at the overall validation of our knowledge-driven content-based image information mining system. In this paper an evaluation approach is demonstrated that is based on information-theoretic quantities to determine the information flow between system levels of different semantic abstraction and to analyze human-computer interactions. Keywords and phrases image information mining CBIR evaluation information theory human-computer interaction. 1. INTRODUCTION In recent years the growth of data collected and stored in archives and the access via the .
