Paper Info
Title
Style-oriented landmark retrieval and summarization.
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.
Year
Venue
Field
2016
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Iterative reconstruction,Image summarization,Computer vision,Automatic summarization,Information retrieval,Visualization,Computer science,Image retrieval,Photography,Artificial intelligence,Landmark,Cluster analysis
DocType
ISSN
Citations 
Conference
2309-9402
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Wei-Yi Chang141.08
Yi-Ren Yeh229814.38
Yu-Chiang Frank Wang391461.63