Papers by Mika Rautiainen
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This paper presents a task-based user evaluation of two content-based image database browsing sys... more This paper presents a task-based user evaluation of two content-based image database browsing systems. The performance of the two systems is compared to that of a commercial image database management program, which does not employ content-based information. Experimental results show that content-based cues improve the efficiency of the browsing considerably. Guidelines for system design are derived from the user feedback.
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... follows. Chapter 2 describes the methodology, defining the three color features used in this ... more ... follows. Chapter 2 describes the methodology, defining the three color features used in this study and the (dis)similarity measures. Chapter 3 presents the experiments, image data and retrieval results for the three methods. ...
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University of Oulu's MediaTeam resear... more University of Oulu's MediaTeam research group participated to the manual and interactive search tasks with our video retrieval system, which is constructed out of three sub-applications: Content-based Query Tool, Cluster-Temporal Browser and Result Container with relevance feedback mechanism. The search engine in the heart of our search system creates result sets using three distinct search sub-engines that take care of
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Abstract This paper studies the performance sensitivity of the variations in different factors on... more Abstract This paper studies the performance sensitivity of the variations in different factors on SNoW and SVM based face detection techniques. These factors include combinations of training set, pixel transitions in sliding window, pre-processing methods (rotation, scaling, ...
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In this paper we describe new methods to detect semantic concepts from digital video based on aud... more In this paper we describe new methods to detect semantic concepts from digital video based on audible and visual content. Temporal Gradient Correlogram captures temporal correlations of gradient edge directions from sampled shot frames. Power-related physical features are extracted from short audio samples in video shots. Video shots containing people, cityscape, landscape, speech or instrumental sound are detected with trained self-organized maps and kNN classification results of audio samples. Test runs and evaluations in TREC 2002 Video Track show consistent performance for Temporal Gradient Correlogram and state-of-the-art precision in audio-based instrumental sound detection.
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Papers by Mika Rautiainen