Interactive image search using similarity-based visualization
暂无分享,去创建一个
[1] Marcel Worring,et al. Interactive access to large image collections using similarity-based visualization , 2008, J. Vis. Lang. Comput..
[2] M. Basseville. Distance measures for signal processing and pattern recognition , 1989 .
[3] Eric J. Pauwels,et al. Finding Salient Regions in Images: Nonparametric Clustering for Image Segmentation and Grouping , 1999, Comput. Vis. Image Underst..
[4] Lance R. Williams,et al. Segmentation of Multiple Salient Closed Contours from Real Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Robert P. W. Duin,et al. Experiments with a featureless approach to pattern recognition , 1997, Pattern Recognit. Lett..
[6] Luigi Cinque,et al. A Multidimensional Image Browser , 1998, J. Vis. Lang. Comput..
[7] Thomas S. Huang,et al. Relevance feedback: a power tool for interactive content-based image retrieval , 1998, IEEE Trans. Circuits Syst. Video Technol..
[8] Timothy F. Cootes,et al. Locating salient facial features using image invariants , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[9] Wei-Ying Ma,et al. Learning similarity measure for natural image retrieval with relevance feedback , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[10] C. VERTAN,et al. BROWSING IMAGE DATABASES BY 2D IMAGE SIMILARITY SCATTER PLOTS: UPDATES TO THE IRIS SYSTEM , 2002 .
[11] Carla E. Brodley,et al. Interactive Content-based Image Retrieval Using Relevance Feedback , 2002 .
[12] Dragutin Petkovic,et al. Query by Image and Video Content: The QBIC System , 1995, Computer.
[13] C. Schmid,et al. Indexing based on scale invariant interest points , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[14] Simone Santini,et al. Similarity Measures , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Anil K. Jain,et al. Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Henning Müller,et al. Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval , 1999, VISUAL.
[17] Cordelia Schmid,et al. An Affine Invariant Interest Point Detector , 2002, ECCV.
[18] Cordelia Schmid,et al. Local Grayvalue Invariants for Image Retrieval , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Cor J. Veenman,et al. Robust Scene Categorization by Learning Image Statistics in Context , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).
[20] Chahab Nastar,et al. Relevance feedback and category search in image databases , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.
[21] Malik Yousef,et al. One-Class SVMs for Document Classification , 2002, J. Mach. Learn. Res..
[22] Jake K. Aggarwal,et al. Retrieval by classification of images containing large manmade objects using perceptual grouping , 2002, Pattern Recognit..
[23] Antoine Geissbühler,et al. A Review of Content{Based Image Retrieval Systems in Medical Applications { Clinical Bene(cid:12)ts and Future Directions , 2022 .
[24] Thierry Pun,et al. Strategies for positive and negative relevance feedback in image retrieval , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[25] Borko Furht,et al. MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback , 2004, Multimedia Tools and Applications.
[26] Benjamin B. Bederson,et al. PhotoMesa: a zoomable image browser using quantum treemaps and bubblemaps , 2001, UIST '01.
[27] Jitendra Malik,et al. Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[28] Thomas S. Huang,et al. Relevance feedback in content-based image retrieval: some recent advances , 2002, Inf. Sci..
[29] Erkki Oja,et al. PicSOM - content-based image retrieval with self-organizing maps , 2000, Pattern Recognit. Lett..
[30] Marcel Worring,et al. Scenario optimization for interactive category search , 2005, MIR '05.
[31] Chaomei Chen. Generalised similarity analysis and pathfinder network scaling , 1998, Interact. Comput..
[32] Daniel A. Keim,et al. Information Visualization and Visual Data Mining , 2002, IEEE Trans. Vis. Comput. Graph..
[33] Matthieu Cord,et al. RETIN AL: an active learning strategy for image category retrieval , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..
[34] Geoffrey E. Hinton,et al. Stochastic Neighbor Embedding , 2002, NIPS.
[35] Fatos T. Yarman-Vural,et al. Learning similarity space , 2002, Proceedings. International Conference on Image Processing.
[36] Arnold W. M. Smeulders,et al. Everything Gets Better All the Time, Apart from the Amount of Data , 2004, CIVR.
[37] Paul L. Rosin. Edges: saliency measures and automatic thresholding , 1997, Machine Vision and Applications.
[38] E. J. Stollnitz,et al. Wavelets for Computer Graphics: A Primer Part 2 , 1995 .
[39] Edward Y. Chang,et al. Support vector machine active learning for image retrieval , 2001, MULTIMEDIA '01.
[40] Barbara Zitová,et al. How to measure the pose robustness of object views , 2002, Image Vis. Comput..
[41] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[42] Edward Y. Chang,et al. Discovery of a perceptual distance function for measuring image similarity , 2003, Multimedia Systems.
[43] Ah-Hwee Tan,et al. On Quantitative Evaluation of Clustering Systems , 2003, Clustering and Information Retrieval.
[44] Jean-Michel Jolion,et al. Detection of Interest Points for Image Indexation , 1999, VISUAL.
[45] Thomas S. Huang,et al. One-class SVM for learning in image retrieval , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[46] Bob J. Wielinga,et al. Ontology-Based Photo Annotation , 2001, IEEE Intell. Syst..
[47] Robert Pless,et al. Image spaces and video trajectories: using Isomap to explore video sequences , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[48] David Zipser,et al. Feature Discovery by Competive Learning , 1986, Cogn. Sci..
[49] Ulrik Brandes,et al. Experiments on Graph Clustering Algorithms , 2003, ESA.
[50] RICHARD C. DUBES,et al. How many clusters are best? - An experiment , 1987, Pattern Recognit..
[51] Kerry Rodden,et al. Does organisation by similarity assist image browsing? , 2001, CHI.
[52] Joachim M. Buhmann,et al. Empirical Evaluation of Dissimilarity Measures for Color and Texture , 2001, Comput. Vis. Image Underst..
[53] Albert Ali Salah,et al. A Selective Attention-Based Method for Visual Pattern Recognition with Application to Handwritten Digit Recognition and Face Recognition , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[54] John P. Eakins,et al. Towards intelligent image retrieval , 2002, Pattern Recognit..
[55] Arnold W. M. Smeulders,et al. Color texture measurement and segmentation , 2005, Signal Process..
[56] Bir Bhanu,et al. Learning feature relevance and similarity metrics in image databases , 1998, Proceedings. IEEE Workshop on Content-Based Access of Image and Video Libraries (Cat. No.98EX173).
[57] G. P. Nguyen,et al. The MediaMill TRECVID 2005 Semantic Video Search Engine (Draft Version). , 2005 .
[58] Thomas S. Huang,et al. Relevance feedback in image retrieval: A comprehensive review , 2003, Multimedia Systems.
[59] John R. Smith,et al. Modeling semantic concepts to support query by keywords in video , 2002, Proceedings. International Conference on Image Processing.
[60] Aleix M. Martínez,et al. A New Approach to Object-Related Image Retrieval , 2000, J. Vis. Lang. Comput..
[61] Markus A. Stricker,et al. Similarity of color images , 1995, Electronic Imaging.
[62] Luigi Cinque,et al. Retrieval of Images using Rich-region Descriptions , 2000, J. Vis. Lang. Comput..
[63] Chaomei Chen,et al. Content-based image visualization , 2000, 2000 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics.
[64] Stefan M. Rüger,et al. Three Interfaces for Content-Based Access to Image Collections , 2004, CIVR.
[65] Howard D. Wactlar,et al. Putting active learning into multimedia applications: dynamic definition and refinement of concept classifiers , 2005, MULTIMEDIA '05.
[66] Trygve Randen,et al. Filtering for Texture Classification: A Comparative Study , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[67] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[68] Cordelia Schmid,et al. Evaluation of Interest Point Detectors , 2000, International Journal of Computer Vision.
[69] Marin Ferecatu,et al. Sample Selection Strategies for Relevance Feedback in Region-Based Image Retrieval , 2004, PCM.
[70] Margaret M. Fleck. Some Defects in Finite-Difference Edge Finders , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[71] David A. Forsyth,et al. The effects of segmentation and feature choice in a translation model of object recognition , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[72] Arnold W. M. Smeulders,et al. The Amsterdam Library of Object Images , 2004, International Journal of Computer Vision.
[73] John C. Dalton,et al. Hierarchical browsing and search of large image databases , 2000, IEEE Trans. Image Process..
[74] Nikolas P. Galatsanos,et al. A similarity learning approach to content-based image retrieval: application to digital mammography , 2004, IEEE Transactions on Medical Imaging.
[75] Rosalind W. Picard,et al. Interactive Learning Using a "Society of Models" , 2017, CVPR 1996.
[76] Robert van Liere,et al. Visualization of multidimensional data using structure preserving projection methods , 2003, Data Visualization: The State of the Art.
[77] B. S. Manjunath,et al. Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[78] Nicu Sebe,et al. Image retrieval using wavelet-based salient points , 2001, J. Electronic Imaging.
[79] Djemel Ziou,et al. Image retrieval based on feature weighting and relevance feedback , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..
[80] Wei-Ying Ma,et al. Learning a semantic space from user's relevance feedback for image retrieval , 2003, IEEE Trans. Circuits Syst. Video Technol..
[81] Marti A. Hearst,et al. The state of the art in automating usability evaluation of user interfaces , 2001, CSUR.
[82] Marcel Worring,et al. Filter Image Browsing: Interactive Image Retrieval by Using Database Overviews , 2001, Multimedia Tools and Applications.
[83] G. Karypis,et al. Criterion Functions for Document Clustering ∗ Experiments and Analysis , 2001 .
[84] Robert P. W. Duin,et al. Dissimilarity representations allow for building good classifiers , 2002, Pattern Recognit. Lett..
[85] Raimondo Schettini,et al. Content-based color image retrieval with relevance feedback , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).
[86] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[87] Bruce A. Draper,et al. FOCUS: Searching for multi-colored objects in a diverse image database , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[88] Marcel Worring,et al. MediaMill: exploring news video archives based on learned semantics , 2005, MULTIMEDIA '05.
[89] Ronen Basri,et al. Extracting Salient Curves from Images: An Analysis of the Saliency Network , 2004, International Journal of Computer Vision.
[90] Shih-Fu Chang,et al. Image Retrieval: Current Techniques, Promising Directions, and Open Issues , 1999, J. Vis. Commun. Image Represent..
[91] Alexander Dimai. Unsupervised extraction of salient region-descriptors for content based image retrieval , 1999, Proceedings 10th International Conference on Image Analysis and Processing.
[92] Remco C. Veltkamp,et al. Content-based image retrieval systems: A survey , 2000 .
[93] Sethuraman Panchanathan,et al. A critical evaluation of image and video indexing techniques in the compressed domain , 1999, Image Vis. Comput..
[94] Toshikazu Kato,et al. Database architecture for content-based image retrieval , 1992, Electronic Imaging.
[95] Robert P. W. Duin,et al. Prototype selection for dissimilarity-based classifiers , 2006, Pattern Recognit..
[96] Leonidas J. Guibas,et al. The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.
[97] Thomas S. Huang,et al. 3D MARS: immersive virtual reality for content-based image retrieval , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..
[98] Qi Tian,et al. Visualization and User-Modeling for Browsing Personal Photo Libraries , 2004, International Journal of Computer Vision.
[99] Ben A. M. Schouten,et al. Show Me What You Mean! Pariss: A CBIR-Interface that Learns by Example , 2000, VISUAL.
[100] N. Boujemaa,et al. Relevance Feedback for Image Retrieval : a Short Survey , 2004 .
[101] Thomas S. Huang,et al. Optimizing learning in image retrieval , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[102] James Ze Wang,et al. SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[103] Marcel Worring,et al. Relevance feedback based saliency adaptation in CBIR , 2005, Multimedia Systems.
[104] Bo Zhang,et al. Support vector machine learning for image retrieval , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[105] Simone Santini,et al. Emergent Semantics through Interaction in Image Databases , 2001, IEEE Trans. Knowl. Data Eng..
[106] HongJiang Zhang. Relevance Feedback in Content-based Image Search , 2001, PRIS.
[107] David Salesin,et al. Fast multiresolution image querying , 1995, SIGGRAPH.
[108] Kerry Rodden,et al. Evaluating a visualisation of image similarity as a tool for image browsing , 1999, Proceedings 1999 IEEE Symposium on Information Visualization (InfoVis'99).
[109] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[110] Dragutin Petkovic,et al. Content-based representation and retrieval of visual media: A state-of-the-art review , 1996, Multimedia Tools and Applications.
[111] Marcel Worring,et al. Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[112] Arnold W. M. Smeulders,et al. PicToSeek: combining color and shape invariant features for image retrieval , 2000, IEEE Trans. Image Process..
[113] Yanchun Zhang,et al. An overview of content-based image retrieval techniques , 2004, 18th International Conference on Advanced Information Networking and Applications, 2004. AINA 2004..
[114] Mohan S. Kankanhalli,et al. Shape Measures for Content Based Image Retrieval: A Comparison , 1997, Inf. Process. Manag..
[115] Timothy F. Cootes,et al. Locating Salient Object Features , 1998, BMVC.
[116] Ben Shneiderman,et al. Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays , 1994 .
[117] Arnold W. M. Smeulders,et al. c ○ 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands. A Six-Stimulus Theory for Stochastic Texture , 2002 .
[118] Guangyou Xu,et al. Similarity measure learning for image retrieval using feature subspace analysis , 2003, Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003.
[119] Oscar de Bruijn,et al. Rapid serial visual presentation: a space-time trade-off in information presentation , 2000, AVI '00.
[120] Stéphane Marchand-Maillet,et al. Learning User Queries in Multimodal Dissimilarity Spaces , 2005, Adaptive Multimedia Retrieval.