CA2307264A1 - An interactive framework for understanding user's perception of multimedia data - Google Patents

An interactive framework for understanding user's perception of multimedia data Download PDF

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Publication number
CA2307264A1
CA2307264A1 CA002307264A CA2307264A CA2307264A1 CA 2307264 A1 CA2307264 A1 CA 2307264A1 CA 002307264 A CA002307264 A CA 002307264A CA 2307264 A CA2307264 A CA 2307264A CA 2307264 A1 CA2307264 A1 CA 2307264A1
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CA
Canada
Prior art keywords
intra
user
perception
query
relevance
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
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CA002307264A
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French (fr)
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CA2307264C (en
Inventor
Gaurav Aggarwal
Pradeep K. Dubey
Suqata Ghosal
Ashutosh Kulshreshtha
Tumkur V. Rao Ravi
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IPG Healthcare 501 Ltd
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International Business Machines Corp
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Publication of CA2307264A1 publication Critical patent/CA2307264A1/en
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Publication of CA2307264C publication Critical patent/CA2307264C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5838Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00Data processing: database and file management or data structures
    • Y10S707/99931Database or file accessing
    • Y10S707/99933Query processing, i.e. searching
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00Data processing: database and file management or data structures
    • Y10S707/99931Database or file accessing
    • Y10S707/99933Query processing, i.e. searching
    • Y10S707/99935Query augmenting and refining, e.g. inexact access
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00Data processing: database and file management or data structures
    • Y10S707/99941Database schema or data structure
    • Y10S707/99943Generating database or data structure, e.g. via user interface

Abstract

A methodology of highly interactive intra-object relevance feedback is used to retrieve images from a database. The query is adjusted using the information fed-back by the user about the relevance of previously extracted part(s) from the object itself, such that the adjusted query is a better approximation to the user's perception. Since a single query image is utilized in the system according to the invention, high-performance learning techniques can be employed for this intra-object learning of user's perception. The refined query is subsequently used for intra-object relevance feedback where images are retrieved from the database based on parameters learnt by intra-image feedback mechanism, and the user provides feedback by ranking the retrieved objects in order of their relevance to him or her. In the system according to the invention, intra-object learning of user's perception is expedited by utilizing the learnt parameters in the intra-object relevance feedback.
Furthermore, the methodology of the invention allows for building refined queries based on part(s) of the query object rather than the entire object itself, thereby reducing the number of irrelevant objects, retrieved from the database.
CA002307264A 1999-06-09 2000-05-01 An interactive framework for understanding user's perception of multimedia data Expired - Fee Related CA2307264C (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/328,968 US6408293B1 (en) 1999-06-09 1999-06-09 Interactive framework for understanding user's perception of multimedia data
US09/328,968 1999-06-09

Publications (2)

Publication Number Publication Date
CA2307264A1 true CA2307264A1 (en) 2000-12-09
CA2307264C CA2307264C (en) 2007-12-04

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Family Applications (1)

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CA002307264A Expired - Fee Related CA2307264C (en) 1999-06-09 2000-05-01 An interactive framework for understanding user's perception of multimedia data

Country Status (4)

Country Link
US (1) US6408293B1 (en)
JP (1) JP2001043246A (en)
CA (1) CA2307264C (en)
SG (1) SG91283A1 (en)

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Also Published As

Publication number Publication date
SG91283A1 (en) 2002-09-17
CA2307264C (en) 2007-12-04
US6408293B1 (en) 2002-06-18
JP2001043246A (en) 2001-02-16

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