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Towards index-based similarity search for protein structure databases
Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003, 2004We propose two methods for finding similarities in protein structure databases. Our techniques extract feature vectors on triplets of SSEs (Secondary Structure Elements) of proteins. These feature vectors are then indexed using a multidimensional index structure.
Orhan, Camoğlu +2 more
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Spherical Structural Similarity Index for Objective Omnidirectional Video Quality Assessment
IEEE International Conference on Multimedia and Expo, 2018Objective quality assessment plays a crucial role in the evaluation and optimization processes of Virtual Reality (VR) technologies, for which state-of-the-art objective quality evaluation metrics for omnidirectional video, i.e., 360 degree video, are ...
Sijia Chen +4 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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Latent Semantic Structure Indexing (LaSSI) for Defining Chemical Similarity
Journal of Medicinal Chemistry, 2001A novel method for computing chemical similarity from chemical substructure descriptors is described. This new method, called LaSSI, uses the singular value decomposition (SVD) of a chemical descriptor-molecule matrix to create a low-dimensional representation of the original descriptor space.
R D, Hull +5 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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Envelope parameter calculation of similarity indexing structure
1998Similarity Indexing is very important for content-based retrieval on large multimedia databases, and the “tightness” of data set envelope is a factor that influences the performance of index. For equidistant envelope (bounding sphere), calculation of envelope is somewhat difficult because of the complexity of direct computation in high dimension space.
Bai Xuesheng, Xu Guangyou, Shi Yuanchun
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An empirical assessment of the structural similarity index
2009 Canadian Conference on Electrical and Computer Engineering, 2009This research evaluates the performance of the structural similarity index. An increasingly popular image quality metric, the structural similarity index is essentially a measure of the statistical correlation of two images. Its alleged strengths and advantages are widely acclaimed.
Richard Dosselmann, Xue Dong Yang
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International Conference on Information Photonics, 2018
This paper presents a simple yet effective method to improve the visual quality of Generative Adversarial Network (GAN) generated images. In typical GAN architectures, the discriminator block is designed mainly to capture the class-specific content from ...
Parimala Kancharla +1 more
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This paper presents a simple yet effective method to improve the visual quality of Generative Adversarial Network (GAN) generated images. In typical GAN architectures, the discriminator block is designed mainly to capture the class-specific content from ...
Parimala Kancharla +1 more
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A comprehensive assessment of the structural similarity index
Signal, Image and Video Processing, 2009In recent years the structural similarity index has become an accepted standard among image quality metrics. Made up of three components, this technique assesses the visual impact of changes in image luminance, contrast, and structure. Applications of the index include image enhancement, video quality monitoring, and image encoding.
Richard Dosselmann, Xue Dong Yang
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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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