{"title":"Style-oriented landmark retrieval and summarization","authors":"Wei-Yi Chang, Yi-Ren Yeh, Y. Wang","doi":"10.1109/APSIPA.2016.7820857","DOIUrl":null,"url":null,"abstract":"While the task of visual summarization aims to select representative images from an image collection, we solve a unique problem of style-oriented landmark retrieval and summarization from photographic images of a city. Instead of performing summarization or clustering on landmark images from a city, we allow the user to provide a query input which is not from the city of interest, while the goal is to retrieve and summarize the landmark images with similar style-dependent landmark images, followed by a style-consistent image summarization across landmark categories. As a result, our summarized outputs from various landmarks would exhibit similar image style as that of the query. Our experiments will confirm that the use of our proposed method is able to perform favorably against existing or baseline approaches with improved query-dependent style consistency.","PeriodicalId":409448,"journal":{"name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIPA.2016.7820857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
While the task of visual summarization aims to select representative images from an image collection, we solve a unique problem of style-oriented landmark retrieval and summarization from photographic images of a city. Instead of performing summarization or clustering on landmark images from a city, we allow the user to provide a query input which is not from the city of interest, while the goal is to retrieve and summarize the landmark images with similar style-dependent landmark images, followed by a style-consistent image summarization across landmark categories. As a result, our summarized outputs from various landmarks would exhibit similar image style as that of the query. Our experiments will confirm that the use of our proposed method is able to perform favorably against existing or baseline approaches with improved query-dependent style consistency.