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Image retrieval and perceptual similarity

Dirk Neumann, Karl R. Gegenfurtner
2006 ACM Transactions on Applied Perception  
We conclude that image-indexing systems can provide useful measures for perceptual image similarity. The methods presented here can be used to evaluate and compare different image-retrieval systems.  ...  In contrast to previous evaluation approaches, we objectively measured similarity both for the few best-matching images and also for relatively distinct images.  ...  Therefore, we wanted to test whether the output of such image-indexing systems does correlate with perceptual similarity measures.  ... 
doi:10.1145/1119766.1119769 fatcat:apskudenxnak7elumitznum35i

Extraction of perceptually important colors and similarity measurement for image matching, retrieval and analysis

A. Mojsilovic, H. Hu, E. Soljanin
2002 IEEE Transactions on Image Processing  
Color descriptors are among the most important features used in image analysis and retrieval.  ...  The method is well suited for creating small fixed color codebooks for image analysis, matching, and retrieval. Then we introduce a statistical technique to extract perceptually relevant colors.  ...  Extraction of Perceptually Important Colors and Similarity Measurement for Image Matching, Retrieval, and Analysis I.  ... 
doi:10.1109/tip.2002.804260 pmid:18249694 fatcat:bmcty2bgare4bn67uwkkdl6hwq

Product Images Retrieval Based on Smart Mobile Devices

Yuzhong Zhang, Chongwen Wang
2016 Journal of clean energy technologies  
In respect of the particularity of the product images, this paper studies the relevant technologies of content-based image retrieval, and proposes an improved method including image segmentation, perceptual  ...  hash, feature point matching and normalization for the product image retrieval.  ...  In current, most perceptual hash algorithm use Hamming distance to measure the similarity of the perceptual hash sequence, and then determine whether the image is similar, so the measure is also used as  ... 
doi:10.7763/ijcte.2016.v8.1079 fatcat:bjnl6baewnffzmszapi6kdctei

Perceptual Shape-Based Natural Image Representation and Retrieval

Xiaofen Zheng, Scott A. Sherrill-Mix, Qigang Gao
2007 International Conference on Semantic Computing (ICSC 2007)  
We extract and group perceptually significant segments and use their properties to create a Euclidean distance matrix for image retrieval.  ...  Human visual recognition is based largely on shape, yet effectively using shapes in natural image retrieval is a challenging task.  ...  Ranking arranges the database images according to their similarities with the query image and the most similar images are the retrieved image results.  ... 
doi:10.1109/icsc.2007.85 dblp:conf/semco/ZhengSG07 fatcat:ovr6eh2l4zfbzb5k557zt4dyui

Image Retrieval using Perceptual Hashing

Harsh Kumar Sarohi
2013 IOSR Journal of Computer Engineering  
The proposed method uses perceptual hash function which calculates similar hash value for similar images.  ...  This paper proposes a new perceptual hashing based approach for Image Retrieval.  ...  Acknowledgement The authors would like to thank Amity School of Engineering and Technology (ASET) where the research was carried out.  ... 
doi:10.9790/0661-0913840 fatcat:3kaht7m6lnfxzfxnriidw7b2pi

A Hierarchial Model for Visual Perception [chapter]

Bolei Zhou, Liqing Zhang
2010 Advances in Cognitive Neurodynamics (II)  
Further analysis of the perceptual manifold reveals that scene images which share similar perceptual similarities stay nearby in the manifold space, and the dimensions of the space could describe the spatial  ...  Moreover, the implementation of scene retrieval task validates the topographic property of the perceptual manifold space.  ...  Image Retrieval Image retrieval task is to retrieve the perceptually similar sets of images when given a target image.  ... 
doi:10.1007/978-90-481-9695-1_90 fatcat:pkkpm3g6wbbgbb77awkig27tga

Texture Retrieval Effectiveness Improvement Using Multiple Representations Fusion [chapter]

Noureddine Abbadeni
2009 Lecture Notes in Computer Science  
In the case of the perceptual model, two viewpoints are considered: perceptual features are computed on original images and on the autocovariance function corresponding to original images.  ...  We propose a multiple representations approach to tackle the problem of content-based image retrieval effectiveness.  ...  Two viewpoints were considered in the case of the perceptual models: the original images and the autocovariance function. The similarity model used was based on Gower's coefficient of similarity.  ... 
doi:10.1007/978-3-540-92957-4_42 fatcat:pkjyveiyuffwfilu4khuaxi75a

Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy

Marcos Vinicius Naves Bedo, Davi Pereira dos Santos, Marcelo Ponciano-Silva, Paulo Mazzoncini de Azevedo-Marques, André Ponce de León Ferreira de Carvalho, Caetano Traina
2015 Journal of digital imaging  
This parameter defines the search space for the similarity query that retrieves the most similar images. An instance-based learning classifier labels the query image following the query result set.  ...  For each query image, the resulting tool provided a complete second opinion, including lesion class, system certainty degree, and set of most similar images.  ...  The second stage employs the selected perceptual parameters as the similarity query settings and performs the image retrieval.  ... 
doi:10.1007/s10278-015-9809-1 pmid:26259520 pmcid:PMC4722033 fatcat:25xrxazqgbbrphs33vhj76nrg4

Multiple Representations of Perceptual Features for Texture Classification and Retrieval

G. Tamilpavai, S. Tamil Selvi
2012 International Journal of Computer Applications  
Gower co-efficient of similarity is used to find the feature similarity between images in retrieval task.  ...  This paper proposed a new perception-based approach to content-based image classification and retrieval.  ...  the similarity between two images on specific feature k.  ... 
doi:10.5120/7462-0479 fatcat:j52x2fzwuvgzhenazx23mcdtj4

Large scale reverse image search - A method comparison for almost identical image retrieval

Mathieu Gaillard, Elöd Egyed-Zsigmond
2017 Congrès INFORSID  
The purpose of the reverse image retrieval is to retrieve images by similarity based on a query image.  ...  For example, an image and a slightly modified version of it are perceptually similar whereas two images with similar colors and shapes can be conceptually different therefore perceptually different.  ... 
dblp:conf/inforsid/GaillardE17 fatcat:prhqpurpjbabbcvvetfeto3ude

Content-based Medical Image Annotation and Retrieval using Perceptual Hashing Algorithm

Suresh Kumar Nagarajan
2012 IOSR Journal of Engineering  
In this paper, we are proposing a novel method for the Image Retrieval. This paper uses Perceptual Hash (P-Hash) Algorithm for the similar image retrieval based on the Query-Image.  ...  Automatic Image Annotation (AIA) is widely used in Medical field. Generally, the images are the retrieved using CBIR (Content-based Image Retrieval) technique.  ...  ACKNOWLEDGMENT We would like to thank IRMA (Image Retrieval in Medical Application) for providing the needed radiological image dataset and VIT University.  ... 
doi:10.9790/3021-0204814818 fatcat:ggr3go6sdzexnno5gynixoeyzi

A Hybrid Data Dependent Dissimilarity Measure for Image Retrieval

Hamid Shojanazeri, Shy Wei Teng, Dengsheng Zhang, Guojun Lu
2017 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)  
In image retrieval, an effective dissimilarity measure is required to retrieve the perceptually similar images.  ...  It focuses on distance between image features and ignores the data distribution of the image features, which can play an important role in measuring perceptual similarity of images. also favours the most  ...  and yield perceptually more similar retrieved images.  ... 
doi:10.1109/dicta.2017.8227389 dblp:conf/dicta/ShojanazeriTZL17 fatcat:esuocljpbfhjthku4t32xypnkq

CBIR with Perceptual Region Features

M Mirmehdi, R Periasamy
2001 Procedings of the British Machine Vision Conference 2001  
A perceptual approach to generating features for use in indexing and retrieving images is described.  ...  Images are retrieved, using a multi-feedback retrieval and ranking mechanism. We examine the performance of the features and the feedback mechanism.  ...  Such kinds of perceptual categories have been used in CBIR systems such as Perceptual Image Similarity And Retrieval Online (Pisaro) [8] which concluded that perceptual colour segmentation performs better  ... 
doi:10.5244/c.15.53 dblp:conf/bmvc/MirmehdiP01 fatcat:kkqxycilyzbx7asv4vguylhhbu

A texture retrieval scheme based on perceptual features

Yanhai Gan, Xiaoxu Cai, Jun Liu, Shengke Wang
2015 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)  
Experimental results show that our method can effectively retrieve textures that are perceptually consistent with users' input.  ...  In order to satisfy users' requirement, we propose a novel procedural texture retrieval scheme that can return textures according to commonly used perceptual dimensions.  ...  similar image is retrieved.  ... 
doi:10.1109/apsipa.2015.7415400 dblp:conf/apsipa/GanCLW15 fatcat:jcyeiariovcjvechk2opf5k74y


Ana B. Benitez, Shih-Fu Change, John R. Smith
2001 Proceedings of the ninth ACM international conference on Multimedia - MULTIMEDIA '01  
In this demo, we present the IMKA system, which implements the innovative approach of integrating perceptual information such as low-level features and images, and symbolic information such as words to  ...  (e.g., Multimedia Thesaurus) by combining perceptual and semantic concepts in the same network and by supporting perceptual and semantic relationships among concepts exemplified by different media.  ...  Applications in Multimedia Retrieval The IMKA system allows users to retrieve images from one or more search engines using multimedia knowledge.  ... 
doi:10.1145/500141.500267 fatcat:6a2ffp4uqzcnzkoyazkaesariq
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