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Pictorial query trees for query specification in image databases

A. Soffer, H. Samet, D. Zotkin
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)  
A technique that enables specifying complex queries in image databases using pictorial query trees is presented.  ...  The syntax of query trees is described. Algorithms for processing individual pictorial queries and for parsing and computing the overall result of a pictorial query tree are outlined. 14th Intl.  ...  Pictorial Query Processing The first step in finding all database images that conform to a pictorial query tree specification is to process each pictorial query image (i.e., each leaf) that is part of  ... 
doi:10.1109/icpr.1998.711383 dblp:conf/icpr/SofferSZ98 fatcat:w54vpociz5eepmxvugw5dimq5a

Pictorial Query Specification for Browsing Through Spatially Referenced Image Databases

AYA SOFFER, HANAN SAMET
1998 Journal of Visual Languages and Computing  
An algorithm for retrieving all database images that conform to a given pictorial query specification is presented.  ...  The user interface for using this pictorial query specification method to browse the results in a map image database application is described and illustrated via screen shots.  ...  Acknowledgments We are grateful to Karttakeskus, Map Center, Helsinki, Finland for providing us the map data. We have benefited from discussions with Walid G. Aref.  ... 
doi:10.1006/jvlc.1998.0091 fatcat:gh74dm2zxfcghmfqvp5lnciwbi

Pictorial queries by image similarity

A. Soffer, H. Samet
1996 Proceedings of 13th International Conference on Pattern Recognition  
A method for specifying pictorial queries to an image database is introduced.  ...  Algorithms for retrieving all database images that conform to a given pictorial query specification are presented and compared.  ...  Acknowledgements We are grateful to Karttakeskus, Map Center, Helsinki, Finland for providing us the map data.  ... 
doi:10.1109/icpr.1996.546805 dblp:conf/icpr/SofferS96 fatcat:stbp46yhmvby5gzt4iexf4wgty

IME: an image management environment with content-based access

Andrea F. Abate, Michele Nappi, Genny Tortora, Maurizio Tucci
1999 Image and Vision Computing  
A suitable spatial index is used to organize the images in a spatial access structure for efficient storage and retrieval.  ...  In order to let the system retrieve images based on the presence of given patterns, it is necessary to define similarity matching criteria between a query and an image.  ...  Sasso and the research staff he directs at the Radiology Institute of the Second University of Naples for their assistance in the choice of the pathologies and images from the Institute archive.  ... 
doi:10.1016/s0262-8856(98)00186-3 fatcat:idesfdopinhh3aae4jjgjbtite

Image retrieval in the industrial environment

Kenneth W. Tobin, Jr., Thomas P. Karnowski, Regina K. Ferrell, Kenneth W. Tobin, Jr., Ning S. Chang
1999 Machine Vision Applications in Industrial Inspection VII  
MT The ability to manage large image databases has been a topic of growing research over the past several years.  ...  For example, a product image typically has an expected structure that can be characterized in terms of its redundancy, texture, geometry, or a mixture of these.  ...  CBIR refers to techniques used to index and retrieve images from databases based on their pictorial content [1, 2] .  ... 
doi:10.1117/12.341138 fatcat:47j3bcwb6ngbnbt44nx3brxzpm

Query by image and video content: the QBIC system

M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Qian Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, P. Yanker
1995 Computer  
m QBlC* lets users find pictorial information in large image and video databases based on color, shape, texture, and sketches. QBIC technology is part of several I B M products.  ...  This is not the same as the much harder semantical query of finding all the pictures of fish in a pictorial database. September 1995 0018-9162/95/$4 00 1995 IEEE  ...  In a query, features from the database are compared t o corresponding features from the query specification t o determine which images are a good match.  ... 
doi:10.1109/2.410146 fatcat:6gu3kf4smnafnjnuj2tks2rpqa

Content-based image retrieval for semiconductor manufacturing

Thomas P. Karnowski, Kenneth W. Tobin, Jr., Regina K. Ferrell, Fred Lakhani, Kenneth W. Tobin, Jr.
2000 Machine Vision Applications in Industrial Inspection VIII  
The feature indexing mechanisms are described next, including their implementation in a commercial database. Next, the retrieval process is described, including query image processing.  ...  Engineers at Oak Ridge National Laboratory (ORNL) have developed a semiconductor-specific content-based image retrieval architecture, also known as Automated Image Retrieval (AIR).  ...  ACKNOWLEDGEMENTS The authors wish to acknowledge the Member Companies who participate in the Defect Reduction Technology Program at SEMATECH for their continued support of our research into automated defect  ... 
doi:10.1117/12.380070 fatcat:ugyo47gjxjah5jnfuomqs6yrg4

An efficient query optimization strategy for spatio-temporal queries in video databases

G. Ünel, M.E. Dönderler, Ö. Ulusoy, U. Güdükbay
2004 Journal of Systems and Software  
In this paper, a query optimization strategy is proposed for processing spatio-temporal queries in video database systems.  ...  Due to the differences in query processing strategies, query optimization techniques used in multimedia database systems are different from those used in traditional databases.  ...  The optimization strategy proposed in their work for computing the result of the pictorial query tree uses the method of changing the order of processing individual query images in order to execute the  ... 
doi:10.1016/s0164-1212(03)00215-2 fatcat:v54wjioumnhzfbj5kbjt744uai

Next-generation Web searches for visual content

M.S. Lew
2000 Computer  
PICTORIAL-CONTENT-BASED QUERIES In the early to mid-1990s, IBM's highly influential QBIC 2 system conducted visual searches for similar images on picture databases.  ...  The feature vectors used for indexing the images are stored in k-d trees. 6 These trees are binary-tree representations of the feature space that have a near-logarithmic search performance for finding  ... 
doi:10.1109/2.881694 fatcat:fs4s75yt3vdbzm7a523ckdnn7e

Invariant-Based Shape Retrieval in Pictorial Databases

Michael Kliot, Ehud Rivlin
1998 Computer Vision and Image Understanding  
We present an approach for shape retrieval from pictorial databases which is based on invariant features of the image.  ...  We have implemented our approach in a heterogeneous database having a SQL-like user interface augmented with sketch-based queries.  ...  In addition, as part of the pictorial specification, the user indicates the degree of desired similar-it, and thus the results are not subjective.  ... 
doi:10.1006/cviu.1998.0709 fatcat:ojz42sxpcjcdzkk3dhrzmydwt4

Invariant-based shape retrieval in pictorial databases [chapter]

Michael Kliot, Ehud Rivlin
1998 Lecture Notes in Computer Science  
We present an approach for shape retrieval from pictorial databases which is based on invariant features of the image.  ...  We have implemented our approach in a heterogeneous database having a SQL-like user interface augmented with sketch-based queries.  ...  In addition, as part of the pictorial specification, the user indicates the degree of desired similar-it, and thus the results are not subjective.  ... 
doi:10.1007/bfb0055686 fatcat:gs7av7crtjcnrjie6b6cvbqznm

Finding VIPs - A visual image persons search using a content property reasoner and web ontology

Edward Kim, Xiaolei Huang, Jeff Heflin
2011 2011 IEEE International Conference on Multimedia and Expo  
Our framework integrates information from both image processing algorithms and semantic knowledge bases to perform interesting queries that would otherwise be impossible.  ...  Visual Image Persons Search, on the domain of VIPs, i.e. very important people. Our tool explores the possibilities of content based image search supported by ontological reasoning.  ...  Since our pictorial structure with three parts is a tree structure, the complexity of the search is O(m 2 n), where m is the number of discrete values for each l i and n (=3) is the number of parts.  ... 
doi:10.1109/icme.2011.6011991 dblp:conf/icmcs/KimHH11 fatcat:zrvo6b4qbvdhtdk2334jmgt254

Large Area Cell Based Image Localization

Andrew Zhai, Matthew Clements, Avideh Zakhor
2014 2014 IEEE International Symposium on Multimedia  
We then create kd-trees for each cell from SIFT features extracted from the images in that cell.  ...  We present a memory scalable image localization system that uses distributed kd-trees created on overlapping geographic cells using a database of 10 million Google Street View images for an area of approximately  ...  In [6] , rather than creating one kd-tree over all images in our database, the images are subdivided with a kd-tree created for each subdivision.  ... 
doi:10.1109/ism.2014.79 dblp:conf/ism/ZhaiCZ14 fatcat:zzxib5tnmff7tpxt5n5rtpxeae

A Visual Database Environment for Scientific Research

Rex M. Jakobovits, Lara M. Lewis, James P. Ahrens, Linda G. Shapiro, Steven L. Tanimoto, James F. Brinkley
1996 Journal of Visual Languages and Computing  
This paper describes a visual database environment designed to be used for scientific research in the imaging sciences .  ...  The Database Environment for Vision Research (DEVR) is an entity-oriented scientific database system designed to facilitate experimentation with image-related data .  ...  Users may construct queries interactively via the menu-driven Query Specification Interface , which prompts for Boolean constraint expressions and sub-query links .  ... 
doi:10.1006/jvlc.1996.0019 fatcat:gwfvnwv6tjh6raagvd35rqsh64

Image Retrieval from the World Wide Web

M. L. Kherfi, D. Ziou, A. Bernardi
2004 ACM Computing Surveys  
It then examines the various issues related to the design and implementation of a Web image search engine, such as data gathering and digestion, indexing, query specification, retrieval and similarity,  ...  In this article, we show that in order to allow people to profit from all this visual information, there is a need to develop tools that help them to locate the needed images with good precision in a reasonable  ...  Query Specification Query specification is an issue for information retrieval in general that remains valid for the Web image retrieval problem, and the system designer must take it into account.  ... 
doi:10.1145/1013208.1013210 fatcat:qjf5mts7krcifdrwxpeoq4kaiy
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