On the selection of anchors and targets for video hyperlinking

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

4 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationICMR'17 Proceedings of the 2017 ACM International Conference on Multimedia Retrieval
PublisherACM
Pages287-293
ISBN (Print)9781450347013
Publication statusPublished - 6 Jun 2017

Conference

Title17th ACM International Conference on Multimedia Retrieval, ICMR 2017
PlaceRomania
CityBucharest
Period6 - 9 June 2017

Abstract

A problem not well understood in video hyperlinking is what qualifies a fragment as an anchor or target. Ideally, anchors provide good starting points for navigation, and targets supplement anchors with additional details while not distracting users with irrelevant, false and redundant information. The problem is not trivial for intertwining relationship between data characteristics and user expectation. Imagine that in a large dataset, there are clusters of fragments spreading over the feature space. The nature of each cluster can be described by its size (implying popularity) and structure (implying complexity). A principle way of hyperlinking can be carried out by picking centers of clusters as anchors and from there reach out to targets within or outside of clusters with consideration of neighborhood complexity. The question is which fragments should be selected either as anchors or targets, in one way to reflect the rich content of a dataset, and meanwhile to minimize the risk of frustrating user experience. This paper provides some insights to this question from the perspective of hubness and local intrinsic dimensionality, which are two statistical properties in assessing the popularity and complexity of data space. Based these properties, two novel algorithms are proposed for low-risk automatic selection of anchors and targets.

Research Area(s)

  • Hubness, Local intrinsic dimensions, Video hyperlinking

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

On the selection of anchors and targets for video hyperlinking. / Cheng, Zhi-Qi; Zhang, Hao; Wu, Xiao; Ngo, Chong-Wah.

ICMR'17 Proceedings of the 2017 ACM International Conference on Multimedia Retrieval. ACM, 2017. p. 287-293.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review