Results 1 - 10 of 276

FaceTracer: A Search Engine for Large Collections of Images with Faces

by Neeraj Kumar, Peter Belhumeur, Shree Nayar
"... Abstract. We have created the first image search engine based entirely on faces. Using simple text queries such as “smiling men with blond hair and mustaches, ” users can search through over 3.1 million faces which have been automatically labeled on the basis of several facial attributes. Faces in o ..."
Abstract - Cited by 77 (4 self) - Add to MetaCart
the strong structure of faces to select and train on the optimal set of features for each attribute. We show state-of-the-art classification results compared to previous works, and demonstrate the power of our architecture through a functional, large-scale face search engine. Our framework is fully automatic

Towards Effective User-Guided Robot Search∗

by Shahar Kosti, Gal A. Kaminka, David Sarne
"... faces ..."
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faces

A real-time matching system for large fingerprint databases

by Nalini K. Ratha, Student Member, Kalle Karu, Shaoyun Chen, Ani K. Jain - IEEE Trans. Pattern Anal. Mach. Intell , 1996
"... Abstract-With the current rapid growth in multimedia technology, there is an imminent need for efficient techniclues to search and query large image databases. Because of their unique and peculiar needs, image databases cannot be treated iri a similar fashion to other types of digital libraries. The ..."
Abstract - Cited by 105 (14 self) - Add to MetaCart
the search space. The search engine has also been implemented on Splash 2-a field programmable gate array (FPGA)-based array processor to obtain near-,4SIC level speed of matching. Our approach has been tested on a locally collected test data and on NIST-9, a large fingerprint database available

Image Content Engine (ICE): A System for Fast Image Database Searches Image Content Engine (ICE): A System for Fast Image Database Searches

by J M Brase , D W Paglieroni , G F Weinert , C W Grant , A S Lopez , S Nikolaev , James M Brase , Douglas N Poland , David W Paglieroni , George F Weinert , Charles W Grant , Aseneth S Lopez , Sergei Nikolaev
"... ABSTRACT The Image Content Engine (ICE) is being developed to provide cueing assistance to human image analysts faced with increasingly large and intractable amounts of image data. The ICE architecture includes user configurable feature extraction pipelines which produce intermediate feature vector ..."
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ABSTRACT The Image Content Engine (ICE) is being developed to provide cueing assistance to human image analysts faced with increasingly large and intractable amounts of image data. The ICE architecture includes user configurable feature extraction pipelines which produce intermediate feature

USER-ASSISTED PEOPLE SEARCH IN CONSUMER IMAGE COLLECTIONS

by Andrew C. Gallagher, Madirakshi Das, Er C. Loui
"... In this paper, we investigate the process of searching for images of specified people in the consumer family photo domain. This domain is very different from the controlled environment of secure-access applications that have been extensively studied and face recognition packages are available in the ..."
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In this paper, we investigate the process of searching for images of specified people in the consumer family photo domain. This domain is very different from the controlled environment of secure-access applications that have been extensively studied and face recognition packages are available

Consolidating the results of automatic search in large scale digital collections.

by Noga Levy, Adiel Ben-shalom, Itai Ben-shalom, Lior Wolf, Nachum Dershowitz, Roni Shweka, Yaacov Choueka
"... We present a tool for grouping the results obtained from image-based document search engines. The obtained groups  provide  structure  to  the  search  engine’s output and allow immediate accessibility to the most prominent results. The tool is based on employing graphical Bayesian models and it rei ..."
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We present a tool for grouping the results obtained from image-based document search engines. The obtained groups  provide  structure  to  the  search  engine’s output and allow immediate accessibility to the most prominent results. The tool is based on employing graphical Bayesian models

ABSTRACT A Search Engine for Historical Manuscript Images

by Toni M. Rath, R. Manmatha, Victor Lavrenko
"... Many museum and library archives are digitizing their large collections of handwritten historical manuscripts to enable public access to them. These collections are only available in image formats and require expensive manual annotation work for access to them. Current handwriting recognizers have w ..."
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word error rates in excess of 50 % and therefore cannot be used for such material. We describe two statistical models for retrieval in large collections of handwritten manuscripts given a text query. Both use a set of transcribed page images to learn a joint probability distribution between features

DISTRIBUTED ARCHITECTURE FOR LARGE SCALE IMAGE-BASED SEARCH

by Yu Zheng, Xing Xie, Wei-ying Ma
"... In recent years, some computer vision algorithms such as SIFT (Scale Invariant Feature Transform) have been employed in image similarity match to perform image-based search applications. However, with the increasing scale of image databases, centralized image retrieval system no longer provide adequ ..."
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adequate prompt search. In this paper, we design a scalable distributed architecture, which is analog to web search engine, for efficient large-scale image retrieval. In our distributed architecture, images are partitioned to multiple servers and an index is built. Administrated by a controlling server

Interactive-Time Similarity Search for Large Image Collections Using Parallel VA-Files

by Roger Weber, Klemens Böhm Hans-Jörg Schek, Roger Weber Klemens, B Hans-j. Schek
"... Nearest-neighbor search (NN-search) plays a key role for content-based retrieval. As a first contribution, this article shows that NN-search is a meaningful implementation of similarity search, even if features are high-dimensional. But NN-search over high-dimensional features is of linear comple ..."
Abstract - Cited by 8 (0 self) - Add to MetaCart
complexity and query response times have not been satisfactory for large collections of multimedia objects. This paper, based on the VA-File, investigates parallel NN-search in a Network of Workstations (NOW). The article identifies various design alternatives for such a search engine and evaluates them

Enabling Search over Large Collections of Telugu Document Images – An Automatic Annotation Based Approach

by Pramod Sankar K, C. V. Jawahar
"... Abstract. For the first time, search is enabled over a massive collection of 21 Million word images from digitized document images. This work advances the state-of-the-art on multiple fronts: i) Indian language document images are made searchable by textual queries, ii) interactive content-level acc ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
of the solution is demonstrated over a large collection of 500 digitised books consisting of 75,000 pages. Character recognition based approaches yield poor results for developing search engines for Indian language document images, due to the complexity of the script and the poor quality of the documents
Results 1 - 10 of 276