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Hierarchical Topic Models for Language-based Video Hyperlinking
Abstract : We investigate video hyperlinking based on speech transcripts , leveraging a hierarchical topical structure to address two essential aspects of hyperlinking, namely, serendipity control and link justification. We propose and compare different approaches exploiting a hierarchy of topic models as an intermediate representation to compare the transcripts of video segments. These hierarchical representations offer a basis to characterize the hyperlinks, thanks to the knowledge of the topics who contributed to the creation of the links, and to control serendipity by choosing to give more weights to either general or specific topics. Experiments are performed on BBC videos from the Search and Hyperlinking task at MediaEval. Link precisions similar to those of direct text comparison are achieved however exhibiting different targets along with a potential control of serendipity.
Cited literature [10 references]
https://hal.archives-ouvertes.fr/hal-01186429
Contributor : Guillaume Gravier Connect in order to contact the contributor
Submitted on : Wednesday, September 2, 2015 - 1:18:41 AM
Last modification on : Wednesday, April 27, 2022 - 3:56:48 AM
Long-term archiving on: : Wednesday, April 26, 2017 - 10:17:16 AM
Contributor : Guillaume Gravier Connect in order to contact the contributor
Submitted on : Wednesday, September 2, 2015 - 1:18:41 AM
Last modification on : Wednesday, April 27, 2022 - 3:56:48 AM
Long-term archiving on: : Wednesday, April 26, 2017 - 10:17:16 AM
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