WO2021133002A3 - Image retargeting method and apparatus for increasing or reducing image ratio - Google Patents

Image retargeting method and apparatus for increasing or reducing image ratio Download PDF

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Publication number
WO2021133002A3
WO2021133002A3 PCT/KR2020/018690 KR2020018690W WO2021133002A3 WO 2021133002 A3 WO2021133002 A3 WO 2021133002A3 KR 2020018690 W KR2020018690 W KR 2020018690W WO 2021133002 A3 WO2021133002 A3 WO 2021133002A3
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WIPO (PCT)
Prior art keywords
image
increasing
ratio
reducing
area
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Application number
PCT/KR2020/018690
Other languages
French (fr)
Korean (ko)
Other versions
WO2021133002A2 (en
Inventor
신재섭
류성걸
손세훈
김형덕
김효성
Original Assignee
주식회사 픽스트리
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Application filed by 주식회사 픽스트리 filed Critical 주식회사 픽스트리
Publication of WO2021133002A2 publication Critical patent/WO2021133002A2/en
Publication of WO2021133002A3 publication Critical patent/WO2021133002A3/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformations in the plane of the image
    • G06T3/40Scaling of whole images or parts thereof, e.g. expanding or contracting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/20Image enhancement or restoration using local operators
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

An image retargeting method and apparatus for increasing or reducing an image ratio are disclosed. The present embodiment provides an image retargeting method and apparatus for: increasing an image ratio by acquiring an image in which a line extracted from an energy map for an area, that excludes the area to be preserved in an input image, is inserted; or reducing the image ratio by acquiring a line deletion image extracted from an energy map for an area that excludes the area to be preserved in a correct answer image.
PCT/KR2020/018690 2019-12-27 2020-12-18 Image retargeting method and apparatus for increasing or reducing image ratio WO2021133002A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020190175874A KR102443630B1 (en) 2019-12-27 2019-12-27 Method And Apparatus for Retargeting Video
KR10-2019-0175874 2019-12-27

Publications (2)

Publication Number Publication Date
WO2021133002A2 WO2021133002A2 (en) 2021-07-01
WO2021133002A3 true WO2021133002A3 (en) 2021-08-19

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2020/018690 WO2021133002A2 (en) 2019-12-27 2020-12-18 Image retargeting method and apparatus for increasing or reducing image ratio

Country Status (2)

Country Link
KR (1) KR102443630B1 (en)
WO (1) WO2021133002A2 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220020113A1 (en) * 2020-07-15 2022-01-20 Instasize, Inc. Image resizing using seam carving
KR102492121B1 (en) * 2022-05-25 2023-01-26 경북대학교 산학협력단 Image classification method using data augmentation technology and computing device for performing the method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080219587A1 (en) * 2007-03-06 2008-09-11 Shmuel Avidan Method for Retargeting Images
KR20110084593A (en) * 2010-01-18 2011-07-26 계명대학교 산학협력단 Compressing method of blood cell image

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100988380B1 (en) * 2008-12-24 2010-10-18 포항공과대학교 산학협력단 Image retargeting method using importance diffusion, storage medium of storing program for executing the same and apparatus performing the same
KR100999648B1 (en) * 2009-03-12 2010-12-08 중앙대학교 산학협력단 Method and apparatus for resizing image
KR101134362B1 (en) * 2009-12-28 2012-04-19 포항공과대학교 산학협력단 Image size converting apparatus

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080219587A1 (en) * 2007-03-06 2008-09-11 Shmuel Avidan Method for Retargeting Images
KR20110084593A (en) * 2010-01-18 2011-07-26 계명대학교 산학협력단 Compressing method of blood cell image

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
SONG EUNGYEOL; LEE MINKYU; LEE SANGYOUN: "CarvingNet: Content-Guided Seam Carving Using Deep Convolution Neural Network", IEEE ACCESS, vol. 7, 1 January 1900 (1900-01-01), pages 284 - 292, XP011695380, DOI: 10.1109/ACCESS.2018.2885347 *
TAN, Weimin et al. Cycle-IR: Deep Cyclic Image Retargeting. arXiv:1905.03556v1. pp. 1-12, 09 May 2019. [Retrieved on 28 May 2021]. Retrieved from <URL: https://arxiv.org/pdf/1905.03556.pdf>. See pages 3-4; and figures 1-2. Y 1-2,8-9 *
ZHANG, Yan et al. Hybrid image retargeting using optimized seam carving and scaling. Multimedia Tools and Applications. Volume 76, No. 6, pp. 8067-8085, 28 March 2016. [Retrieved on 28 May 2021]. Retrieved from <https://link.springer.com/content/pdf/10.1007/s11042-016-3318-1.pdf>. See pages 8067 and 8070-8081. A 1-15 *

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Publication number Publication date
KR102443630B1 (en) 2022-09-15
WO2021133002A2 (en) 2021-07-01
KR20210083524A (en) 2021-07-07

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