Bibliographic description
ROWE, Neil C.; FEW, Brian. Automatic Caption Localization for Photographs on World Wide Web Pages [on line]. Monterey: Department of Computer Science, U. S. Naval Postgraduate School, 1998. Available on: http://www.nps.navy.mil/Content/CS/ncrowe/marie/webpics.html"
Dublin Core
Title : Automatic Caption Localization for Photographs on World Wide Web Pages
Creator : Neil C. Rowe, Brian Frew
Subject : photograph retrieval / Photograph indexing / World Wide Web
Description : "Pictures, especially photographs, are one of the most valuable resources available on the Internet through the popular World Wide Web. Unlike text, most photographs are valuable primary sources of real-world data. Unlike conventional copy technology, photographs on the Web maintain their quality under transmission. Interest has increased recently in multimedia technology as its speed has improved by hardware and software refinements; photographs also benefit from these advances. This has meant that multimedia resources on the Web have grown quickly. For these reasons, indexing and retrieval of photographs is becoming increasingly critical."
Publisher : Department of Computer Science, U. S. Naval Postgraduate School, Monterey
Date : 1998
Type : Article
Format : HTML
Identifier : http://www.nps.navy.mil/Content/CS/ncrowe/marie/webpics.html
Source: http://www.nps.edu/
Language : En
Relation : -
Coverage : USA
Rights : U. S. Naval Postgraduate School
Abstract
"A variety of software tools index text of the World Wide Web, but little attention has been paid to the many photographs. We explore the indirect method of locating for indexing the likely explicit and implicit captions of photographs. We use multimodal clues including the specific words used, the syntax, the surrounding layout of the Web page, and the general appearance of the associated image. Our MARIE-3 system thus avoids full image processing and full natural-language processing, but shows a surprising degree of success. Experiments with a semi-random set of Web pages showed 41% recall with 41% precision for the task of distinguishing captions from other text, and 70% recall with 30% precision. This is much better than chance since actual captions were only 1.4% of the text on pages with photographs."
Showing posts with label RETRIEVAL. Show all posts
Showing posts with label RETRIEVAL. Show all posts
Monday, 16 April 2007
Thursday, 29 March 2007
SPIRO: Slide and Photograph, Image Retrieval Online
Bibliographic description
ARCHITECTURE VISUAL RESOURCES LIBRARY. SPIRO [on line]. Berkeley: University of California, 11 december 2006. Available on: http://www.mip.berkeley.edu/query_forms/browse_spiro_form.html
Dublin Core
Title : SPIRO
Creator : Architecture Visual Resources Library, Department of Architecture, College of Environmental Design, University of California, Berkeley
Subject : Image database / architecture / Visual arts / City planning / Urban development
Description : "SPIRO is the visual online public access catalog to the 35mm slide collection of the Architecture Visual Resources Library (AVRL) at the University of California at Berkeley. The collection numbers over 250,000 slides and 20,000 photographs."
Publisher : University of California, Berkeley
Date : 2006-12-11
Type : Image Database
Format : HTML
Identifier : http://www.mip.berkeley.edu/query_forms/browse_spiro_form.html
Source: http://www.arch.ced.berkeley.edu/resources/archslides.htm
Language : En
Relation : http://www.mip.berkeley.edu/spiro/about.html
http://www.berkeley.edu/
Coverage : USA
Rights : Architecture Visual Resources Library
Abstract
"SPIRO permits access to the collection by seven access points which may be used independently or in combination:
historical period
place
personal name
object name
subject terms
source of image
image identification number
As of January 2004, SPIRO contained over 63,000 records linked to images, approximately 20% of AVRL's total slide collection. Thirty-three percent (33%) of the images in SPIRO come from images in books. These are produced in-house by copy stand photography under the fair use and educational copying provisions of the U.S. Copyright Law. Eleven percent (11%) of the images in SPIRO derive from copy stand photography from periodicals, also produced in-house. Thirty-eight percent (38%) of the images are donor- supplied, and eighteen percent (18%) are purchased from commercial slide vendors."
ARCHITECTURE VISUAL RESOURCES LIBRARY. SPIRO [on line]. Berkeley: University of California, 11 december 2006. Available on: http://www.mip.berkeley.edu/query_forms/browse_spiro_form.html
Dublin Core
Title : SPIRO
Creator : Architecture Visual Resources Library, Department of Architecture, College of Environmental Design, University of California, Berkeley
Subject : Image database / architecture / Visual arts / City planning / Urban development
Description : "SPIRO is the visual online public access catalog to the 35mm slide collection of the Architecture Visual Resources Library (AVRL) at the University of California at Berkeley. The collection numbers over 250,000 slides and 20,000 photographs."
Publisher : University of California, Berkeley
Date : 2006-12-11
Type : Image Database
Format : HTML
Identifier : http://www.mip.berkeley.edu/query_forms/browse_spiro_form.html
Source: http://www.arch.ced.berkeley.edu/resources/archslides.htm
Language : En
Relation : http://www.mip.berkeley.edu/spiro/about.html
http://www.berkeley.edu/
Coverage : USA
Rights : Architecture Visual Resources Library
Abstract
"SPIRO permits access to the collection by seven access points which may be used independently or in combination:
historical period
place
personal name
object name
subject terms
source of image
image identification number
As of January 2004, SPIRO contained over 63,000 records linked to images, approximately 20% of AVRL's total slide collection. Thirty-three percent (33%) of the images in SPIRO come from images in books. These are produced in-house by copy stand photography under the fair use and educational copying provisions of the U.S. Copyright Law. Eleven percent (11%) of the images in SPIRO derive from copy stand photography from periodicals, also produced in-house. Thirty-eight percent (38%) of the images are donor- supplied, and eighteen percent (18%) are purchased from commercial slide vendors."
Thursday, 22 March 2007
CIRES: Content Based Image Retrieval System
Bibliographic description
IQBAL, Qasim; AGGARWAL, J.K. CIRES: A system for Content Based Retrieval in digital image libraries [on line]. Singapore: Invited session on Content Based Image Retrieval: Techniques and Applications, International Conference on Control, Automation, Robotics and Vision (ICARCV), 2 december 2002. Available on: http://amazon.ece.utexas.edu/~qasim/papers.htm
Dublin Core
Title : CIRES: Content Based Image Retrieval System
Creator : Qasim Iqbal, J. K. Aggarwal
Subject : image retrieval, content based, retrieval system, CIRES
research, CIRES
Description : This document is a powerful tool om line for retrieval in digital image libraries
Publisher : International Conference on Control, Automation, Robotics and Vision (ICARCV)
Date : 2002-12-02
Type : Conference
Format : PDF
Identifier : http://amazon.ece.utexas.edu/~qasim/papers.htm
Source : http://amazon.ece.utexas.edu/~qasim/
Language : En
Relation : -
Coverage : USA
Rights :
Abstract
This papers presents CIRES, a new online system for content-based retrieval in digital image libraries. Contentbased image retrieval systems have traditionally used color and texture analyses. These analyses have not always achieved adequate level of performance and user satisfaction. The growing need for robust image retrieval systems has led to a need for additional retrieval methodologies. CIRES addresses this issue by using image structure in addition to color and texture. The efficacy of using structure in combination with color and texture is demonstrated.
IQBAL, Qasim; AGGARWAL, J.K. CIRES: A system for Content Based Retrieval in digital image libraries [on line]. Singapore: Invited session on Content Based Image Retrieval: Techniques and Applications, International Conference on Control, Automation, Robotics and Vision (ICARCV), 2 december 2002. Available on: http://amazon.ece.utexas.edu/~qasim/papers.htm
Dublin Core
Title : CIRES: Content Based Image Retrieval System
Creator : Qasim Iqbal, J. K. Aggarwal
Subject : image retrieval, content based, retrieval system, CIRES
research, CIRES
Description : This document is a powerful tool om line for retrieval in digital image libraries
Publisher : International Conference on Control, Automation, Robotics and Vision (ICARCV)
Date : 2002-12-02
Type : Conference
Format : PDF
Identifier : http://amazon.ece.utexas.edu/~qasim/papers.htm
Source : http://amazon.ece.utexas.edu/~qasim/
Language : En
Relation : -
Coverage : USA
Rights :
Abstract
This papers presents CIRES, a new online system for content-based retrieval in digital image libraries. Contentbased image retrieval systems have traditionally used color and texture analyses. These analyses have not always achieved adequate level of performance and user satisfaction. The growing need for robust image retrieval systems has led to a need for additional retrieval methodologies. CIRES addresses this issue by using image structure in addition to color and texture. The efficacy of using structure in combination with color and texture is demonstrated.
Retrieval of Pictures Using Approximate Matching
Bibliographic description
PRASAD SISTLA, A; YU, Clement. Retrieval of Pictures Using Approximate Matching [on line]. University of Illinois: Departement of Electrical engeneering and computer science , 1995. Available on: http://citeseer.ist.psu.edu/sistla95retrieval.html
Dublin Core
Title : Retrieval of Pictures Using Approximate Matching
Creator : A. Prasad Sistla, Clement Yu
Subject : picture retrieval / image database
Description : A description of a general-purpose pictorial retrieval system based on approximate matching.
Publisher : Departement of Electrical engeneering and computer science, University of Illinois
Date : 1995
Type : Book extract
Format : PDF
Identifier : http://citeseer.ist.psu.edu/sistla95retrieval.html
Source : http://citeseer.ist.psu.edu/
Language : En
Relation : -
Coverage : USA
Rights : Copyright Penn State and NEC
Abstract
We describe a general-purpose pictorial retrieval system based on approximate matching. This system accommodates pictorial databases for a broad class of applications. It consists of tools for handling the following aspects--- user interfaces, reasoning about spatial relationships, computing degrees of similarity between queries and pictures. In this paper, we briefly describe the model that is used for representing pictures/queries, the user interface, the system for reasoning about spatial relationships, and the methods employed for computation of similarities of pictures with respect to queries.
PRASAD SISTLA, A; YU, Clement. Retrieval of Pictures Using Approximate Matching [on line]. University of Illinois: Departement of Electrical engeneering and computer science , 1995. Available on: http://citeseer.ist.psu.edu/sistla95retrieval.html
Dublin Core
Title : Retrieval of Pictures Using Approximate Matching
Creator : A. Prasad Sistla, Clement Yu
Subject : picture retrieval / image database
Description : A description of a general-purpose pictorial retrieval system based on approximate matching.
Publisher : Departement of Electrical engeneering and computer science, University of Illinois
Date : 1995
Type : Book extract
Format : PDF
Identifier : http://citeseer.ist.psu.edu/sistla95retrieval.html
Source : http://citeseer.ist.psu.edu/
Language : En
Relation : -
Coverage : USA
Rights : Copyright Penn State and NEC
Abstract
We describe a general-purpose pictorial retrieval system based on approximate matching. This system accommodates pictorial databases for a broad class of applications. It consists of tools for handling the following aspects--- user interfaces, reasoning about spatial relationships, computing degrees of similarity between queries and pictures. In this paper, we briefly describe the model that is used for representing pictures/queries, the user interface, the system for reasoning about spatial relationships, and the methods employed for computation of similarities of pictures with respect to queries.
Picture Retrieval Systems: A Unified Perspective and Research Issues
Bibliographic description
Venkat N. Gudivada, Vijay V. Raghavan. Picture Retrieval Systems: A Unified Perspective and Research Issues [on line]. Ohio University: Department of Computer Science, The Center for Advanced Computer Studies, 1995. Available on: http://citeseer.ist.psu.edu/gudivada95picture.html
Dublin Core
Title : Picture Retrieval Systems: A Unified Perspective and Research Issues
Creator : Venkat N. Gudivada, Vijay V. Raghavan
Subject : picture retrieval / image database / Picture Retrieval System
Description :
Publisher : Department of Computer Science, The Center for Advanced Computer Studies, Ohio University
Date : 1995
Type : article
Format : PDF
Identifier : http://citeseer.ist.psu.edu/gudivada95picture.html
Source : http://citeseer.ist.psu.edu/
Language : En
Relation : -
Coverage : USA
Rights : Copyright Penn State and NEC
Abstract
Picture Retrieval (PR) problem is concerned with retrieving pictures
that are relevant to users' requests from a large collection of
pictures, referred to as the picture database. We use the term
picture in a very general context to refer to different types of
images originating in disparate application areas. The sources for
these images range from satellites, diagnostic medical imaging,
architectural and engineering drawings, geographic maps, mug-shot
images of criminals, to family photographs and portraits. A computer
system that facilitates picture retrieval is referred to as the
Picture Retrieval System (PRS). The application areas that consider
picture retrieval as a principal activity are both numerous and
disparate. As diverse as the application areas are, there seems to be
no consensus as to what a picture retrieval system really is.
Consequently, the features of the existing picture retrieval systems
have essentially evolved from domain specific considerations.
Venkat N. Gudivada, Vijay V. Raghavan. Picture Retrieval Systems: A Unified Perspective and Research Issues [on line]. Ohio University: Department of Computer Science, The Center for Advanced Computer Studies, 1995. Available on: http://citeseer.ist.psu.edu/gudivada95picture.html
Dublin Core
Title : Picture Retrieval Systems: A Unified Perspective and Research Issues
Creator : Venkat N. Gudivada, Vijay V. Raghavan
Subject : picture retrieval / image database / Picture Retrieval System
Description :
Publisher : Department of Computer Science, The Center for Advanced Computer Studies, Ohio University
Date : 1995
Type : article
Format : PDF
Identifier : http://citeseer.ist.psu.edu/gudivada95picture.html
Source : http://citeseer.ist.psu.edu/
Language : En
Relation : -
Coverage : USA
Rights : Copyright Penn State and NEC
Abstract
Picture Retrieval (PR) problem is concerned with retrieving pictures
that are relevant to users' requests from a large collection of
pictures, referred to as the picture database. We use the term
picture in a very general context to refer to different types of
images originating in disparate application areas. The sources for
these images range from satellites, diagnostic medical imaging,
architectural and engineering drawings, geographic maps, mug-shot
images of criminals, to family photographs and portraits. A computer
system that facilitates picture retrieval is referred to as the
Picture Retrieval System (PRS). The application areas that consider
picture retrieval as a principal activity are both numerous and
disparate. As diverse as the application areas are, there seems to be
no consensus as to what a picture retrieval system really is.
Consequently, the features of the existing picture retrieval systems
have essentially evolved from domain specific considerations.
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