Skip navigation

Collaborative movie annotation

Collaborative movie annotation

Daylamani Zad, Damon and Agius, Harry (2009) Collaborative movie annotation. In: Furht, Borko, (ed.) Handbook of Multimedia for Digital Entertainment and Arts. Springer US, Boca Raton, FL, USA, pp. 265-288. ISBN 978-0-387-89023-4 (doi:https://doi.org/10.1007/978-0-387-89024-1_12)

Full text not available from this repository.

Abstract

In this paper, we focus on metadata for self-created movies like those found on YouTube and Google Video, the duration of which are increasing in line with falling upload restrictions. While simple tags may have been sufficient for most purposes for traditionally very short video footage that contains a relatively small amount of semantic content, this is not the case for movies of longer duration which embody more intricate semantics. Creating metadata is a time-consuming process that takes a great deal of individual effort; however, this effort can be greatly reduced by harnessing the power of Web 2.0 communities to create, update and maintain it. Consequently, we consider the annotation of movies within Web 2.0 environments, such that users create and share that metadata collaboratively and propose an architecture for collaborative movie annotation. This architecture arises from the results of an empirical experiment where metadata creation tools, YouTube and an MPEG-7 modelling tool, were used by users to create movie metadata. The next section discusses related work in the areas of collaborative retrieval and tagging. Then, we describe the experiments that were undertaken on a sample of 50 users. Next, the results are presented which provide some insight into how users interact with existing tools and systems for annotating movies. Based on these results, the paper then develops an architecture for collaborative movie annotation.

Item Type: Book Section
Additional Information: [1] Chapter 12, in Part I DIGITAL ENTERTAINMENT TECHNOLOGIES. [2] ISBN: 978-0-387-89023-4 (Print); 978-0-387-89024-1 (Online).
Uncontrolled Keywords: multimedia, metadata, tagging, YouTube, Web 2.0, collaboration, collaborative tagging, collaborative content modelling MPEG-7 Experiment Experiment results Architecture Annotation Movie annotation Conceptual Model
Subjects: Q Science > QA Mathematics
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Related URLs:
Last Modified: 14 Oct 2016 09:28
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/12166

Actions (login required)

View Item View Item