Multimedia Indexing, Search, and Retrieval in Large Databases of Social Networks

@inproceedings{Semertzidis2013MultimediaIS,
  title={Multimedia Indexing, Search, and Retrieval in Large Databases of Social Networks},
  author={Theodoros Semertzidis and Dimitrios Rafailidis and Eleftherios Tiakas and Michael G. Strintzis and Petros Daras},
  booktitle={Social Media Retrieval},
  year={2013}
}
Social networks are changing the way multimedia content is shared on the Web, by allowing users to upload their photos, videos, and audio content, produced by any means of digital recorders such as mobile/smartphones and Web/digital cameras. This plethora of content created the need for finding the desired media in the social media universe. Moreover, the diversity of the available content inspired users to demand and formulate more complicated queries. In the social media era, multimedia… 
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References

SHOWING 1-10 OF 115 REFERENCES
Social multimedia: highlighting opportunities for search and mining of multimedia data in social media applications
  • Mor Naaman
  • Computer Science
    Multimedia Tools and Applications
  • 2010
TLDR
This article presents an approach for “social multimedia” applications based on the experience of building a number of successful applications that are based on mining multimedia content analysis in social multimedia context.
Exploring Context and Content Links in Social Media: A Latent Space Method
TLDR
A new algorithm which mines both context and content links in social media networks to discover the underlying latent semantic space in multimedia objects to enable the use of any off-the-shelf multimedia retrieval algorithms.
Learning similarity metrics for event identification in social media
TLDR
A variety of techniques for learning multi-feature similarity metrics for social media documents in a principled manner are explored and evaluation results suggest that the approach identifies events more effectively than the state-of-the-art strategies on which they are built.
Temporal patterns in social media streams: Theme discovery and evolution using joint analysis of content and context
TLDR
A novel framework that characterizes distinct timeevolving patterns of group photo streams is proposed, which uses a nonnegative joint matrix factorization approach to incorporate image content features and contextual information, including associated tags, photo owners and post times.
Building a web-scale image similarity search system
TLDR
The experience in building an experimental similarity search system on a test collection of more than 50 million images and the performance of this technology and its evolvement as the data volume grows by three orders of magnitude is studied.
GeoFolk: latent spatial semantics in web 2.0 social media
TLDR
Experimental results show that the model-based framework GeoFolk outperforms baseline techniques that are based on one of the aspects alone, and the approach described in this contribution can also be used in other domains such as Geoweb retrieval.
Learning tag relevance by neighbor voting for social image retrieval
TLDR
A novel algorithm that scalably and reliably learns tag relevance by accumulating votes from visually similar neighbors is proposed, and treated as tag frequency, learned tag relevance is seamlessly embedded into current tag-based social image retrieval paradigms.
Interactive social, spatial and temporal querying for multimedia retrieval
TLDR
A scheme for faster and more effective retrieval of temporal, spatial and social multimedia from large collections, and the proposed queries facilitate easy input and refinement of queries, and efficient retrieval.
Feature statistical retrieval applied to content based copy identification
TLDR
This work proposes a novel strategy dedicated to pseudo-invariant features retrieval and more specifically applied to content based copy identification that is used in a TV monitoring system including more than 13000 hours of video in the reference database.
Content-Based Image Retrieval at the End of the Early Years
TLDR
The working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap are discussed, as well as aspects of system engineering: databases, system architecture, and evaluation.
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