Hierarchical framework for plot de-interlacing of TV series based on speakers, dialogues and images
Proceedings of the 2012 ACM international workshop on Audio and multimedia methods for large-scale video analysis
Supervised acoustic concept extraction for multimedia event detection
Proceedings of the 2012 ACM international workshop on Audio and multimedia methods for large-scale video analysis
Short user-generated videos classification using accompanied audio categories
Proceedings of the 2012 ACM international workshop on Audio and multimedia methods for large-scale video analysis
Pornography detection in video benefits (a lot) from a multi-modal approach
Proceedings of the 2012 ACM international workshop on Audio and multimedia methods for large-scale video analysis
There is no data like less data: percepts for video concept detection on consumer-produced media
Proceedings of the 2012 ACM international workshop on Audio and multimedia methods for large-scale video analysis
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Media sharing sites on the Internet and the one-click upload capability of smartphones have led to a deluge of online multimedia content. Everyday, thousands of videos are uploaded into the web creating an ever-growing demand for methods to make them easier to retrieve, search, and index. While visual information is a very important part of a video, acoustic information often complements it. This is especially true for the analysis of consumer-produced, "unconstrained" videos from social media networks, such as YouTube uploads or Flickr content. The goal of the 1st ACM International Workshop on Audio and Multimedia Methods for Large-Scale Video Analysis (AMVA) is to bring together researchers and practitioners in this newly emerging field, and to foster discussion on future directions of the topic by providing a forum for focused exchanges on new ideas, developments, and results. The aim is to build a strong community and a venue that at some point can become its own conference.