Comparing Retrieval Effectiveness of Alternative Content Segmentation Methods for Internet Video Search


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Eskevich, M. and Jones, G. and Larson, J. and Wartena, C. and Aly, R.B.N. and Verschoor, T. and Ordelman, R.J.F. (2012) Comparing Retrieval Effectiveness of Alternative Content Segmentation Methods for Internet Video Search. In: 10th Workshop on Content-Based Multimedia Indexing, CMBI 2012, 27-29 June 2012, Annecy, France (pp. pp. 1-6).

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Abstract:We present an exploratory study of the retrieval of semiprofessional user-generated Internet video. The study is based on the MediaEval 2011 Rich Speech Retrieval (RSR) task for which the dataset was taken from the Internet sharing platform blip.tv, and search queries associated with specific speech acts occurring in the video. We compare results from three participant groups using: automatic speech recognition system transcript (ASR), metadata manually assigned to each video by the user who uploaded it, and their combination. RSR 2011 was a known-item search for a single manually identified ideal jump-in point in the video for each query where playback should begin. Retrieval effectiveness is measured using the MRR and mGAP metrics. Using different transcript segmentation methods the participants tried to maximize the rank of the relevant item and to locate the nearest match to the ideal jump-in point. Results indicate that best overall results are obtained for topically homogeneous segments which have a strong overlap with the relevant region associated with the jump-in point, and that use of metadata can be beneficial when segments are unfocused or cover more than one topic.
Item Type:Conference or Workshop Item
Copyright:© 2012 IEEE
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/82172
Official URL:http://dx.doi.org/10.1109/CBMI.2012.6269810
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