GB0619817D0 - A method of identifying a measure of feature saliency in a sequence of images - Google Patents

A method of identifying a measure of feature saliency in a sequence of images

Info

Publication number
GB0619817D0
GB0619817D0 GBGB0619817.0A GB0619817A GB0619817D0 GB 0619817 D0 GB0619817 D0 GB 0619817D0 GB 0619817 A GB0619817 A GB 0619817A GB 0619817 D0 GB0619817 D0 GB 0619817D0
Authority
GB
United Kingdom
Prior art keywords
identifying
images
measure
sequence
feature saliency
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.)
Ceased
Application number
GBGB0619817.0A
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ip2ipo Innovations Ltd
Original Assignee
Imperial Innovations Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Imperial Innovations Ltd filed Critical Imperial Innovations Ltd
Priority to GBGB0619817.0A priority Critical patent/GB0619817D0/en
Publication of GB0619817D0 publication Critical patent/GB0619817D0/en
Priority to PCT/GB2007/003707 priority patent/WO2008040945A1/en
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)
GBGB0619817.0A 2006-10-06 2006-10-06 A method of identifying a measure of feature saliency in a sequence of images Ceased GB0619817D0 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
GBGB0619817.0A GB0619817D0 (en) 2006-10-06 2006-10-06 A method of identifying a measure of feature saliency in a sequence of images
PCT/GB2007/003707 WO2008040945A1 (en) 2006-10-06 2007-09-28 A method of identifying a measure of feature saliency in a sequence of images

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GBGB0619817.0A GB0619817D0 (en) 2006-10-06 2006-10-06 A method of identifying a measure of feature saliency in a sequence of images

Publications (1)

Publication Number Publication Date
GB0619817D0 true GB0619817D0 (en) 2006-11-15

Family

ID=37454140

Family Applications (1)

Application Number Title Priority Date Filing Date
GBGB0619817.0A Ceased GB0619817D0 (en) 2006-10-06 2006-10-06 A method of identifying a measure of feature saliency in a sequence of images

Country Status (2)

Country Link
GB (1) GB0619817D0 (en)
WO (1) WO2008040945A1 (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020154833A1 (en) 2001-03-08 2002-10-24 Christof Koch Computation of intrinsic perceptual saliency in visual environments, and applications
CN101697593B (en) * 2009-09-08 2012-10-10 武汉大学 Time domain prediction-based saliency extraction method
WO2011152893A1 (en) 2010-02-10 2011-12-08 California Institute Of Technology Methods and systems for generating saliency models through linear and/or nonlinear integration
CN103020985B (en) * 2012-11-12 2015-12-09 华中科技大学 A kind of video image conspicuousness detection method based on field-quantity analysis
CN103077534B (en) * 2012-12-31 2015-08-19 南京华图信息技术有限公司 Spatiotemporal object moving target detecting method
CN103077536B (en) * 2012-12-31 2016-01-13 华中科技大学 Space-time mutative scale moving target detecting method
CN104778721B (en) * 2015-05-08 2017-08-11 广州小鹏汽车科技有限公司 The distance measurement method of conspicuousness target in a kind of binocular image
CN113591708B (en) * 2021-07-30 2023-06-23 金陵科技学院 Meteorological disaster monitoring method based on satellite-borne hyperspectral image

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6670963B2 (en) * 2001-01-17 2003-12-30 Tektronix, Inc. Visual attention model
US7116716B2 (en) * 2002-11-01 2006-10-03 Microsoft Corporation Systems and methods for generating a motion attention model
US7590287B2 (en) * 2002-11-06 2009-09-15 Agency For Science, Technology And Research Method for generating a quality oriented significance map for assessing the quality of an image or video
JP4705959B2 (en) * 2005-01-10 2011-06-22 トムソン ライセンシング Apparatus and method for creating image saliency map

Also Published As

Publication number Publication date
WO2008040945A1 (en) 2008-04-10

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Legal Events

Date Code Title Description
AT Applications terminated before publication under section 16(1)