A Video Browsing Tool for Content Management in Postproduction

Werner Bailer,Gert Kienast,Georg Thallinger,Wolfgang Weiss,Werner Haas

doi:10.1155/2010/856761

Werner Bailer, Gert Kienast + Show 3 more

Open Access

https://doi.org/10.1155/2010/856761

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Abstract

We propose an interactive video browsing tool for supporting content management and selection in postproduction. The approach is based on a process model for multimedia content abstraction. A software framework based on this process model and desktop and Web-based client applications are presented. For evaluation, we apply two TRECVID style fact finding approaches (retrieval and question answering tasks) and a user survey to the evaluation of the video browsing tool. We analyze the correlation between the results of the different methods, whether different aspects can be evaluated independently with the survey, and if a learning effect can be measured with the different methods, and we also compare the full-featured desktop and the limited Web-based user interface. The results show that the retrieval task correlates better with the user experience according to the survey. The survey rather measures the general user experience while different aspects of the usability cannot be analyzed independently.

Highlights

With the increasing amount of multimedia data being produced, there is growing demand for more efficient ways of supporting exploration and navigation of multimedia data
We analyze the correlation between the results of the different methods, whether different aspects can be evaluated independently with the survey, and if a learning effect can be measured with the different methods, and we compare the full-featured desktop and the limited Web-based user interface
Multimedia content abstraction methods are complementary to search and retrieval approaches, as they allow for exploration of an unknown content set, without the requirement to specify a query in advance

Summary

Introduction

With the increasing amount of multimedia data being produced, there is growing demand for more efficient ways of supporting exploration and navigation of multimedia data. Multimedia content abstraction methods are complementary to search and retrieval approaches, as they allow for exploration of an unknown content set, without the requirement to specify a query in advance. This is relevant in cases where only few metadata are available for the content set, and where the user does not know what to expect in the content set, so that she is not able to formulate a query. Media content abstraction methods will (i) support the user in quickly gaining an overview of a known or unknown content set, (ii) organize content by similarity in terms of any feature or group of features, and (iii) select representative content for subsets of the content set that can be used for visualization

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Conclusion