Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/660924
Title: Tree-Based Visualization and Optimization for Image Collection
Authors: Xintong Han;Chongyang Zhang;Weiyao Lin;Mingliang Xu;Bin Sheng;Tao Mei
subject: Image collage|layout optimization|image collection visualization
Year: 2016
Publisher: IEEE
Abstract: The visualization of an image collection is the process of displaying a collection of images on a screen under some specific layout requirements. This paper focuses on an important problem that is not well addressed by the previous methods: visualizing image collections into arbitrary layout shapes while arranging images according to user-defined semantic or visual correlations (e.g., color or object category). To this end, we first propose a property-based tree construction scheme to organize images of a collection into a tree structure according to user-defined properties. In this way, images can be adaptively placed with the desired semantic or visual correlations in the final visualization layout. Then, we design a two-step visualization optimization scheme to further optimize image layouts. As a result, multiple layout effects including layout shape and image overlap ratio can be effectively controlled to guarantee a satisfactory visualization. Finally, we also propose a tree-transfer scheme such that visualization layouts can be adaptively changed when users select different “images of interest.” We demonstrate the effectiveness of our proposed approach through the comparisons with state-of-the-art visualization techniques.
URI: http://localhost/handle/Hannan/180955
http://localhost/handle/Hannan/660924
ISSN: 2168-2267
2168-2275
volume: 46
issue: 6
Appears in Collections:2016

Files in This Item:
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7155544.pdf2.7 MBAdobe PDFThumbnail
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Title: Tree-Based Visualization and Optimization for Image Collection
Authors: Xintong Han;Chongyang Zhang;Weiyao Lin;Mingliang Xu;Bin Sheng;Tao Mei
subject: Image collage|layout optimization|image collection visualization
Year: 2016
Publisher: IEEE
Abstract: The visualization of an image collection is the process of displaying a collection of images on a screen under some specific layout requirements. This paper focuses on an important problem that is not well addressed by the previous methods: visualizing image collections into arbitrary layout shapes while arranging images according to user-defined semantic or visual correlations (e.g., color or object category). To this end, we first propose a property-based tree construction scheme to organize images of a collection into a tree structure according to user-defined properties. In this way, images can be adaptively placed with the desired semantic or visual correlations in the final visualization layout. Then, we design a two-step visualization optimization scheme to further optimize image layouts. As a result, multiple layout effects including layout shape and image overlap ratio can be effectively controlled to guarantee a satisfactory visualization. Finally, we also propose a tree-transfer scheme such that visualization layouts can be adaptively changed when users select different “images of interest.” We demonstrate the effectiveness of our proposed approach through the comparisons with state-of-the-art visualization techniques.
URI: http://localhost/handle/Hannan/180955
http://localhost/handle/Hannan/660924
ISSN: 2168-2267
2168-2275
volume: 46
issue: 6
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7155544.pdf2.7 MBAdobe PDFThumbnail
Preview File
Title: Tree-Based Visualization and Optimization for Image Collection
Authors: Xintong Han;Chongyang Zhang;Weiyao Lin;Mingliang Xu;Bin Sheng;Tao Mei
subject: Image collage|layout optimization|image collection visualization
Year: 2016
Publisher: IEEE
Abstract: The visualization of an image collection is the process of displaying a collection of images on a screen under some specific layout requirements. This paper focuses on an important problem that is not well addressed by the previous methods: visualizing image collections into arbitrary layout shapes while arranging images according to user-defined semantic or visual correlations (e.g., color or object category). To this end, we first propose a property-based tree construction scheme to organize images of a collection into a tree structure according to user-defined properties. In this way, images can be adaptively placed with the desired semantic or visual correlations in the final visualization layout. Then, we design a two-step visualization optimization scheme to further optimize image layouts. As a result, multiple layout effects including layout shape and image overlap ratio can be effectively controlled to guarantee a satisfactory visualization. Finally, we also propose a tree-transfer scheme such that visualization layouts can be adaptively changed when users select different “images of interest.” We demonstrate the effectiveness of our proposed approach through the comparisons with state-of-the-art visualization techniques.
URI: http://localhost/handle/Hannan/180955
http://localhost/handle/Hannan/660924
ISSN: 2168-2267
2168-2275
volume: 46
issue: 6
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7155544.pdf2.7 MBAdobe PDFThumbnail
Preview File