Blip10000: a social video dataset containing SPUG content for tagging and retrieval

Authors:
Sebastian Schmiedeke;Peng Xu;Isabelle Ferrané;Maria Eskevich;Christoph Kofler;Martha A. Larson;Yannick Estève;Lori Lamel;Gareth J. F. Jones;Thomas Sikora
Affiliations:
Technische Universität Berlin, Germany;Delft University of Technology, The Netherlands;University of Toulouse, France;Dublin City University, Ireland;Delft University of Technology, The Netherlands;Delft University of Technology, The Netherlands;Language and Speech Technology (LST) team, LIUM, Le Mans, France;Spoken Language Processing Group, LIMSI/Vocapia, France;Dublin City University, Ireland;Technische Universität Berlin, Germany
Venue:
Proceedings of the 4th ACM Multimedia Systems Conference
Year:
2013

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Abstract

The increasing amount of digital multimedia content available is inspiring potential new types of user interaction with video data. Users want to easily find the content by searching and browsing. For this reason, techniques are needed that allow automatic categorisation, searching the content and linking to related information. In this work, we present a dataset that contains comprehensive semi-professional user-generated (SPUG) content, including audiovisual content, user-contributed metadata, automatic speech recognition transcripts, automatic shot boundary files, and social information for multiple 'social levels'. We describe the principal characteristics of this dataset and present results that have been achieved on different tasks.