On Personified Image Conceptualization: A Preliminary Research

碩士 === 國立成功大學 === 製造資訊與系統研究所碩博士班 === 101 === “Images” as writings, are created, taken or edited by authors, which might carry the intent of the authors. In previous researches, “image annotation” method was used to indicate the concepts of image. However, object labels which are the outputs of “imag...

Full description

Bibliographic Details
Main Authors: Li-WeiYeh, 葉力維
Other Authors: Yu-Min Chen
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/8j289y
id ndltd-TW-101NCKU5621030
record_format oai_dc
spelling ndltd-TW-101NCKU56210302019-05-15T21:03:27Z http://ndltd.ncl.edu.tw/handle/8j289y On Personified Image Conceptualization: A Preliminary Research 擬人化之影像概念描述研究 Li-WeiYeh 葉力維 碩士 國立成功大學 製造資訊與系統研究所碩博士班 101 “Images” as writings, are created, taken or edited by authors, which might carry the intent of the authors. In previous researches, “image annotation” method was used to indicate the concepts of image. However, object labels which are the outputs of “image annotation” can’t describe the meanings completely. This study proposes a method for image conceptualization by referencing the image realization process of humans. First of all, objects are annotated and scene is classified according to the relations between objects. Then an event of the image is inferred based on the objects and the scene identified in the previous step. Finally, the concept of the image is described using a simple sentence. Owing to the fact that most of images are living photos, this study focused on living photos for experiments of image conceptualization. The experiment showed that the accuracy of sentences for image concept description, which were evaluated by humans, is up to 87.3%. It also proved the applicability of the proposed image conceptualization method. Yu-Min Chen 陳裕民 2013 學位論文 ; thesis 57 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立成功大學 === 製造資訊與系統研究所碩博士班 === 101 === “Images” as writings, are created, taken or edited by authors, which might carry the intent of the authors. In previous researches, “image annotation” method was used to indicate the concepts of image. However, object labels which are the outputs of “image annotation” can’t describe the meanings completely. This study proposes a method for image conceptualization by referencing the image realization process of humans. First of all, objects are annotated and scene is classified according to the relations between objects. Then an event of the image is inferred based on the objects and the scene identified in the previous step. Finally, the concept of the image is described using a simple sentence. Owing to the fact that most of images are living photos, this study focused on living photos for experiments of image conceptualization. The experiment showed that the accuracy of sentences for image concept description, which were evaluated by humans, is up to 87.3%. It also proved the applicability of the proposed image conceptualization method.
author2 Yu-Min Chen
author_facet Yu-Min Chen
Li-WeiYeh
葉力維
author Li-WeiYeh
葉力維
spellingShingle Li-WeiYeh
葉力維
On Personified Image Conceptualization: A Preliminary Research
author_sort Li-WeiYeh
title On Personified Image Conceptualization: A Preliminary Research
title_short On Personified Image Conceptualization: A Preliminary Research
title_full On Personified Image Conceptualization: A Preliminary Research
title_fullStr On Personified Image Conceptualization: A Preliminary Research
title_full_unstemmed On Personified Image Conceptualization: A Preliminary Research
title_sort on personified image conceptualization: a preliminary research
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/8j289y
work_keys_str_mv AT liweiyeh onpersonifiedimageconceptualizationapreliminaryresearch
AT yèlìwéi onpersonifiedimageconceptualizationapreliminaryresearch
AT liweiyeh nǐrénhuàzhīyǐngxiànggàiniànmiáoshùyánjiū
AT yèlìwéi nǐrénhuàzhīyǐngxiànggàiniànmiáoshùyánjiū
_version_ 1719109167503900672