HuEvent '15最新文献

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Media Synchronization and Sub-Event Detection in Multi-User Image Collections 多用户图像集合中的媒体同步和子事件检测
HuEvent '15 Pub Date : 2015-10-30 DOI: 10.1145/2815244.2815248
M. Zaharieva, M. Riegler
{"title":"Media Synchronization and Sub-Event Detection in Multi-User Image Collections","authors":"M. Zaharieva, M. Riegler","doi":"10.1145/2815244.2815248","DOIUrl":"https://doi.org/10.1145/2815244.2815248","url":null,"abstract":"Personal media capturing devices, such as smartphones or personal image and video cameras, are rarely synchronized. As a result, common tasks, like event detection and summarization across different multi-user media galleries, are considerably impeded and error-prone. In this paper, we investigate different approaches for the synchronization of image collections using visual information only. We perform a thorough evaluation of the performance of several global features on three datasets. Additionally, we explore the feasibility of common clustering algorithms for the detection of sub-events in the presence of synchronization misalignment.","PeriodicalId":372942,"journal":{"name":"HuEvent '15","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132364325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using Photo Similarity and Weighted Graphs for the Temporal Synchronization of Event-Centered Multi-User Photo Collections 基于照片相似度和加权图的以事件为中心的多用户照片集合时间同步
HuEvent '15 Pub Date : 2015-10-30 DOI: 10.1145/2815244.2815246
Konstantinos Apostolidis, V. Mezaris
{"title":"Using Photo Similarity and Weighted Graphs for the Temporal Synchronization of Event-Centered Multi-User Photo Collections","authors":"Konstantinos Apostolidis, V. Mezaris","doi":"10.1145/2815244.2815246","DOIUrl":"https://doi.org/10.1145/2815244.2815246","url":null,"abstract":"This paper describes a method to temporally align photo collections that have been created during the same event by different users using their own unsynchronized digital photo capture devices. Using multiple similarity measures, we identify pairs of similar photos from different collections. We then temporally align the photo collections by traversing a graph, whose nodes represent the collections, and edges represent the similar photo pairs between collections. Outcome of this process is a set of modified timestamps for the photos, which could be used in applications such as time-based clustering and sub-event detection in multi-user photo collections. We evaluate the proposed synchronization method on benchmark datasets and we compare it to state-of-the-art methods, demonstrating its superiority.","PeriodicalId":372942,"journal":{"name":"HuEvent '15","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133530749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Discovering Commonness and Specificness for Human Action Recognition 发现人类行为识别的共性与特殊性
HuEvent '15 Pub Date : 2015-10-30 DOI: 10.1145/2815244.2815247
Tingting Yao, Zhiyong Wang, Zhao Xie, Jun Gao, D. Feng
{"title":"Discovering Commonness and Specificness for Human Action Recognition","authors":"Tingting Yao, Zhiyong Wang, Zhao Xie, Jun Gao, D. Feng","doi":"10.1145/2815244.2815247","DOIUrl":"https://doi.org/10.1145/2815244.2815247","url":null,"abstract":"Human action recognition remains a challenging problem though having been intensively researched for decades. Recently, many sparse coding based approaches have been proposed to advance the progress in this research field. However, most of these approaches aim to learn a more discriminative dictionary by incorporating various regularization terms so that sparse codes are more representative for better recognition performance. Instead, in this paper, we propose a novel discriminative dictionary learning method which recognizes the commonness and specificness among different action classes. That is, we aim to obtain a universal dictionary which consists of two parts, a shared dictionary for all action classes and a set of class-specific dictionaries. As a result, inter-class differences can be better characterized with sparse codes obtained from the class-specific dictionaries. In addition, group sparsity constraint is utilized to ensure that similar descriptors of the same action class have similar sparse codes and locality constraint is utilized to ensure data locality. The experimental results on the popular UCF sports dataset demonstrate that our proposed approach outperforms the state-of-the-art of related methods.","PeriodicalId":372942,"journal":{"name":"HuEvent '15","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127913560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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