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A novel system for the semi automatic annotation of event images
Abstract With the rise in popularity of smart phoneWith the rise in popularity of smart phones, taking and sharing photographs has never been more openly accessible. Further, photo sharing websites, such as Flickr, have made the distribution of photographs easy, resulting in an increase of visual content uploaded online. Due to the laborious nature of annotating images, however, a large percentage of these images are unannotated making their organisation and retrieval difficult. Therefore, there has been a recent research focus on the automatic and semi-automatic process of annotating these images. Despite the progress made in this field, however, annotating images automatically based on their visual appearance often results in unsatisfactory suggestions and as a result these models have not been adopted in photo sharing websites. Many methods have therefore looked to exploit new sources of evidence for annotation purposes, such as image context for example. In this demonstration, we instead explore the scenario of annotating images taken at a large scale events where evidences can be extracted from a wealth of online textual resources. Specifically, we present a novel tag recommendation system for images taken at a popular music festival which allows the user to select relevant tags from related Tweets and Wikipedia content, thus reducing the workload involved in the annotation process. Copyright 2014 ACM.he annotation process. Copyright 2014 ACM.
Abstractsub With the rise in popularity of smart phoneWith the rise in popularity of smart phones, taking and sharing photographs has never been more openly accessible. Further, photo sharing websites, such as Flickr, have made the distribution of photographs easy, resulting in an increase of visual content uploaded online. Due to the laborious nature of annotating images, however, a large percentage of these images are unannotated making their organisation and retrieval difficult. Therefore, there has been a recent research focus on the automatic and semi-automatic process of annotating these images. Despite the progress made in this field, however, annotating images automatically based on their visual appearance often results in unsatisfactory suggestions and as a result these models have not been adopted in photo sharing websites. Many methods have therefore looked to exploit new sources of evidence for annotation purposes, such as image context for example. In this demonstration, we instead explore the scenario of annotating images taken at a large scale events where evidences can be extracted from a wealth of online textual resources. Specifically, we present a novel tag recommendation system for images taken at a popular music festival which allows the user to select relevant tags from related Tweets and Wikipedia content, thus reducing the workload involved in the annotation process. Copyright 2014 ACM.he annotation process. Copyright 2014 ACM.
Bibtextype inproceedings  +
Doi 10.1145/2600428.2611188  +
Has author McParlane P.J. + , Jose J.M. +
Has extra keyword Information retrieval + , Photography + , Large scale events + , Recent researches + , Semi-automatic annotation + , Semi-automatics + , Tag recommendations + , Twitter + , Visual appearance + , Wikipedia + , Research +
Has keyword Photo tag recommendation + , Twitter + , Wikipedia +
Isbn 9781450322591  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 1269–1270  +
Published in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval +
Title A novel system for the semi automatic annotation of event images +
Type conference paper  +
Year 2014 +
Creation dateThis property is a special property in this wiki. 6 November 2014 13:31:36  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 13:31:36  +
DateThis property is a special property in this wiki. 2014  +
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