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  1. Proceedings of the first SIGMM workshop on Social media (WSM '09)
  2. Multimodal video copy detection applied to social media
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Influence of multimedia in emerging social web systems
Tweet the debates: understanding community annotation of uncollected sources
Effective semantic classification of consumer events for automatic content management
Accelerating YouTube with video correlation
Motivating contributors in social media networks
Event driven summarization for web videos
Multimodal video copy detection applied to social media
Image tag clarity: in search of visual-representative tags for social images
The role of tags and image aesthetics in social image search
From usage to annotation: analysis of personal photo albums for semantic photo understanding
Social reader: following social networks in the wilds of the blogosphere
Implicit emotional tagging of multimedia using EEG signals and brain computer interface
VisuaPedia: a social media based visual encyclopedia

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Multimodal video copy detection applied to social media

Content Provider ACM Digital Library
Author Anguera, Xavier Obrador, Pere Oliver, Nuria
Abstract Reliable content-based copy detection algorithms (CBCD) are at the core of effective multimedia data management and copyright enforcement systems. CBCD techniques focus on detecting videos that are identical to or transformed versions of an original video. The fast growth of online video sharing services challenges state-of-the-art copy detection algorithms as they need to be: able to deal with vast amounts of data, computationally efficient and robust to a wide range of image and audio transformations. In this paper, we present two related multimodal CBCD algorithms that effectively fuse audio and video information by means of a compact multimodal signature based on audio and video global descriptors. We validate our algorithms with a benchmark database (MUSCLE-VCD) and obtain over a 14% relative improvement with respect to state-of-the-art systems. In addition, we illustrate the performance of our approach in a video view-count re-ranking task with YouTube data.
Starting Page 57
Ending Page 64
Page Count 8
File Format PDF
ISBN 9781605587592
DOI 10.1145/1631144.1631157
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-10-23
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Video search Multimedia processing Video copy detection Multimedia information retrieval Youtube Near-duplicate videos
Content Type Text
Resource Type Article
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