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Semantic description and annotation of digital images is the key to management and reusing of images in humanities computing. Due to the lack of domain-specific hierarchical description schema and controlled vocabulary for digital images, annotation results produced by current methods such as machine annotation based on low-level visual features of images, and human annotation based on expert's experiences,have the problem of low quality and inconsistency. To solve this problem,we propose a semantic description framework for the content description based on information needs and retrieval theory. The framework combines a semantic description framework and a domain thesaurus. In this paper, we elaborate on the relationship between semantic levels under this description framework. Then, we conduct a preliminary test with this method in the cultural heritage field using the Dunhuang fresco digital image. We discuss the effect of semantic granularity on the annotation cost from the point view of image semantic description granularity and control strategies for an image¿s semantic description quality.
This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003.The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.
For each user role, the authors discuss its privacy concerns and the strategies that it can adopt to solve the privacy problems.The book also proposes a simple game model to analyze the interactions among data provider, data collector and data miner.
For each user role, the authors discuss its privacy concerns and the strategies that it can adopt to solve the privacy problems.The book also proposes a simple game model to analyze the interactions among data provider, data collector and data miner.
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