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Interactive Manga retargeting

Published: 07 August 2011 Publication History

Abstract

The existing content aware image retargeting methods are mainly suitable for natural images, and do not perform well on line drawings. Such methods tend to regard homogeneous areas as less important. For line drawings, this is not always true.

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Reference

[1]
Rubinstein, M., Shamir, A., and Avidan, S. 2008. Improved seam carving for video retargeting. In SIGGRAPH 2008, ACM.

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  • (2023)Single patch super-resolution of histopathology whole slide images: a comparative studyJournal of Medical Imaging10.1117/1.JMI.10.1.01750110:01Online publication date: 1-Jan-2023
  • (2022)Automatic dewarping of camera-captured comic document imagesMultimedia Tools and Applications10.1007/s11042-022-13234-y82:1(1537-1552)Online publication date: 11-Jun-2022
  • (2022)BCBId: first Bangla comic dataset and its applicationsInternational Journal on Document Analysis and Recognition (IJDAR)10.1007/s10032-022-00412-925:4(265-279)Online publication date: 15-Sep-2022
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  1. Interactive Manga retargeting

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      cover image ACM Conferences
      SIGGRAPH '11: ACM SIGGRAPH 2011 Posters
      August 2011
      92 pages
      ISBN:9781450309714
      DOI:10.1145/2037715
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 07 August 2011

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      Cited By

      View all
      • (2023)Single patch super-resolution of histopathology whole slide images: a comparative studyJournal of Medical Imaging10.1117/1.JMI.10.1.01750110:01Online publication date: 1-Jan-2023
      • (2022)Automatic dewarping of camera-captured comic document imagesMultimedia Tools and Applications10.1007/s11042-022-13234-y82:1(1537-1552)Online publication date: 11-Jun-2022
      • (2022)BCBId: first Bangla comic dataset and its applicationsInternational Journal on Document Analysis and Recognition (IJDAR)10.1007/s10032-022-00412-925:4(265-279)Online publication date: 15-Sep-2022
      • (2021)CNN-based segmentation of speech balloons and narrative text boxes from comic book page imagesInternational Journal on Document Analysis and Recognition (IJDAR)10.1007/s10032-021-00366-4Online publication date: 21-Apr-2021
      • (2019)Learning to Generate Posters of Scientific Papers by Probabilistic Graphical ModelsJournal of Computer Science and Technology10.1007/s11390-019-1904-134:1(155-169)Online publication date: 18-Jan-2019
      • (2017)Manga Vectorization and Manipulation with Procedural Simple ScreentoneIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2016.252577423:2(1070-1084)Online publication date: 1-Feb-2017
      • (2017)Sketch-based manga retrieval using manga109 datasetMultimedia Tools and Applications10.1007/s11042-016-4020-z76:20(21811-21838)Online publication date: 1-Oct-2017
      • (2016)Semi-automatic Text and Graphics Extraction of Manga Using Eye Tracking Information2016 12th IAPR Workshop on Document Analysis Systems (DAS)10.1109/DAS.2016.72(120-125)Online publication date: Apr-2016
      • (2015)A clump splitting based method to localize speech balloons in comicsProceedings of the 2015 13th International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2015.7333892(901-905)Online publication date: 23-Aug-2015
      • (2015)Interactive segmentation for manga using lossless thinning and coarse labeling2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)10.1109/APSIPA.2015.7415523(293-296)Online publication date: Dec-2015
      • Show More Cited By

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