Projection Profile-based Content Aware Image and Video Retargeting

碩士 === 亞洲大學 === 資訊工程學系碩士班 === 99 === In this thesis, a projection profile-based algorithm is proposed for content-aware image and video resizing. First, an energy map which describes the image or the video frame important and unimportant parts are calculated by energy functions. The edge detection,...

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Main Authors: Zhi-Ping Li, 李旨平
Other Authors: Cheng-Hung Chuang
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/55999720716842829347
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spelling ndltd-TW-099THMU83960192016-04-11T04:22:41Z http://ndltd.ncl.edu.tw/handle/55999720716842829347 Projection Profile-based Content Aware Image and Video Retargeting 基於側面投影法之內容感知圖像與影片縮放研究 Zhi-Ping Li 李旨平 碩士 亞洲大學 資訊工程學系碩士班 99 In this thesis, a projection profile-based algorithm is proposed for content-aware image and video resizing. First, an energy map which describes the image or the video frame important and unimportant parts are calculated by energy functions. The edge detection, the saliency-based visual attention model, and video frame difference are applied in the energy functions. Then the proposed method uses horizontal and vertical projection profiles of the energy map to gather importance statistics. Thus, different scaling of the image or the video frame content is extracted. By this way, the discontinuity and misalignment that usually occurs in the results of seam carving is reduced. Experiments result show that the proposed method is capable of yielding some acceptable results. Cheng-Hung Chuang 莊政宏 2011 學位論文 ; thesis 81 zh-TW
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description 碩士 === 亞洲大學 === 資訊工程學系碩士班 === 99 === In this thesis, a projection profile-based algorithm is proposed for content-aware image and video resizing. First, an energy map which describes the image or the video frame important and unimportant parts are calculated by energy functions. The edge detection, the saliency-based visual attention model, and video frame difference are applied in the energy functions. Then the proposed method uses horizontal and vertical projection profiles of the energy map to gather importance statistics. Thus, different scaling of the image or the video frame content is extracted. By this way, the discontinuity and misalignment that usually occurs in the results of seam carving is reduced. Experiments result show that the proposed method is capable of yielding some acceptable results.
author2 Cheng-Hung Chuang
author_facet Cheng-Hung Chuang
Zhi-Ping Li
李旨平
author Zhi-Ping Li
李旨平
spellingShingle Zhi-Ping Li
李旨平
Projection Profile-based Content Aware Image and Video Retargeting
author_sort Zhi-Ping Li
title Projection Profile-based Content Aware Image and Video Retargeting
title_short Projection Profile-based Content Aware Image and Video Retargeting
title_full Projection Profile-based Content Aware Image and Video Retargeting
title_fullStr Projection Profile-based Content Aware Image and Video Retargeting
title_full_unstemmed Projection Profile-based Content Aware Image and Video Retargeting
title_sort projection profile-based content aware image and video retargeting
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/55999720716842829347
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