The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
Generic image classification using visual knowledge on the web
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Learning Object Categories from Google"s Image Search
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Probabilistic web image gathering
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
International Journal of Computer Vision
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
VisualRank: Applying PageRank to Large-Scale Image Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting Moving People from Internet Videos
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Proceedings of the 18th international conference on World wide web
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Tag suggestion and localization in user-generated videos based on social knowledge
Proceedings of second ACM SIGMM workshop on Social media
Harvesting Image Databases from the Web
IEEE Transactions on Pattern Analysis and Machine Intelligence
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Relevance feedback for real-world human action retrieval
Pattern Recognition Letters
Articulated pose estimation with flexible mixtures-of-parts
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Multimedia
Automatic construction of an action video shot database using web videos
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
HMDB: A large video database for human motion recognition
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
A SURF-Based spatio-temporal feature for feature-fusion-based action recognition
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
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Video sharing websites have recently become a tremendous video source, which is easily accessible without any costs. This has encouraged researchers in the action recognition field to construct action database exploiting Web sources. However Web sources are generally too noisy to be used directly as a recognition database. Thus building action database from Web sources has required extensive human efforts on manual selection of video parts related to specified actions. In this paper, we introduce a novel method to automatically extract video shots related to given action keywords from Web videos according to their metadata and visual features. First, we select relevant videos among tagged Web videos based on the relevance between their tags and the given keyword. After segmenting selected videos into shots, we rank these shots exploiting their visual features in order to obtain shots of interest as top ranked shots. Especially, we propose to adopt Web images and human pose matching method in shot ranking step and show that this application helps to boost more relevant shots to the top. This unsupervised method of ours only requires the provision of action keywords such as ''surf wave'' or ''bake bread'' at the beginn ing. We have made large-scale experiments on various kinds of human actions as well as non-human actions and obtained promising results.