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Similar shape retrieval using a structural feature index
Information Systems, 1993Abstract In image database systems, we often want to retrieve images whose contents satisfy certain conditions specified in an iconic query (i.e. queries that involve input images and conditions on them). One type of image data retrieval called ‘shape similarity-based retrieval” involves retrieval of images containing one or more shapes similar to ...
James E. Gary, Rajiv Mehrotra
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Image Structure Subspace Learning Using Structural Similarity Index
2019Literature has shown that Mean Squared Error is not a promising measure for image fidelity and similarity assessment, and Structural Similarity Index (SSIM) can properly handle this aspect. The existing subspace learning methods in machine learning are based on Euclidean distance or MSE and thus cannot properly capture the structural features of images.
Benyamin Ghojogh +2 more
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Video object tracking with differential Structural SIMilarity index
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011The Structural SIMilarity Measure (SSIM) combined with the sequential Monte Carlo approach has been shown [1] to achieve more reliable video object tracking performance, compared with similar methods based on colour and edge histograms and Bhattacharyya distance.
Artur Loza +3 more
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An Evaluation of Structure Based Similarity Indexes for Collaborative Filtering
2010 Third International Conference on Knowledge Discovery and Data Mining, 2010Recommender systems are significant for web based e-commerce, and collaborative filtering(CF) algorithms are proved to be the most successful recommendation techniques. For CF algorithms, the similarity index is the heart, and many indexes have been proposed.
Yong Chen, Mingsheng Shang 0001
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A New Index to Evaluate Solutions in the CLONALG Algorithm: Structural Similarity Index
2010A new heuristic is proposed as a modification to the clonal selection based algorithm called the CLONALG of Artificial Immune Systems. In the CLONALG algorithm, the objective function values of the antibodies are used as an index for affinity, selection and mutation. It does not include a specified set of antigens to solve optimization problems.
Raja Ram M. R. Muddada +3 more
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Mining, Indexing, and Similarity Search in Graphs and Complex Structures
22nd International Conference on Data Engineering (ICDE'06), 2006Scalable methods for mining, indexing, and similarity search in graphs and other complex structures, such as trees, lattices, and networks, have become increasingly important in data mining and database management. This is because a large set of emerging applications need to handle new kinds of objects with complex structures, such as trees (e.g., XML ...
Jiawei Han 0001 +2 more
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Distance-Based Index Structures for Fast Similarity Search
Cybernetics and Systems Analysis, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Transactions in GIS, 2019
AbstractUnderstanding diverse characteristics of human mobility provides profound knowledge of urban dynamics and complexity. Human movements are recorded in a variety of data sources and each describes unique mobility characteristics. Revealing similarity and difference in mobility data sources facilitates grasping comprehensive human mobility ...
Chanwoo Jin +3 more
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AbstractUnderstanding diverse characteristics of human mobility provides profound knowledge of urban dynamics and complexity. Human movements are recorded in a variety of data sources and each describes unique mobility characteristics. Revealing similarity and difference in mobility data sources facilitates grasping comprehensive human mobility ...
Chanwoo Jin +3 more
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A New Local Self-Similarity Descriptor Based on Structural Similarity Index
Applied Mechanics and Materials, 2014The local self-similarity descriptor is a kind of important image or video local feature description method. It is often used for detection, identification and recognition. In this paper we propose a new local self-similarity descriptor based on structural similarity (SSIM) index.
Hong Bo Yang, Xia Hou
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Quaternion Structural Similarity: A New Quality Index for Color Images
IEEE Transactions on Image Processing, 2012One of the most important issues for researchers developing image processing algorithms is image quality. Methodical quality evaluation, by showing images to several human observers, is slow, expensive, and highly subjective. On the other hand, a visual quality matrix (VQM) is a fast, cheap, and objective tool for evaluating image quality.
Amir Kolaman, Orly Yadid-Pecht
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