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Comparing retrieval effectiveness of alternative content segmentation methods for Internet video search

Eskevich, Maria and Jones, Gareth J.F. and Larson, Martha and Wartena, Christian and Aly, Robin and Verschoor, Thijs and Ordelman, Roeland (2012) Comparing retrieval effectiveness of alternative content segmentation methods for Internet video search. In: 10th Workshop on Content-Based Multimedia Indexing (CBMI 2012), 4-6 June 2012, Annecy, France. ISBN 978-1-4673-2369-7

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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, 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 (Paper)
Event Type:Workshop
Uncontrolled Keywords:Rich Speech Retrieval; Retrieval effectiveness
Subjects:Computer Science > Multimedia systems
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Proceedings of 10th Workshop on Content-Based Multimedia Indexing (CBMI 2012). . IEEE. ISBN 978-1-4673-2369-7
Copyright Information:© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, European Framework Programme 7
ID Code:17141
Deposited On:16 Jul 2012 14:41 by Gareth Jones. Last Modified 16 Jul 2012 14:41

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