A social network for video annotation and discovery based on semantic profiling

Abstract

This paper presents a system for the social annotation and discovery of videos based on social networks and social knowledge. The system, developed as a web application, allows users to comment and annotate, manually and automatically, video frames and scenes enriching their content with tags, references to Facebook users and pages and Wikipedia resources. These annotations are used to semantically model the interests and the folksonomy of each user and resource in the network, and to suggest to users new resources, Facebook friends and videos whose content is related to their interests. A screencast showing an example of these functionalities is publicly available at:

Designing Socially-Aware Video Exploration Interfaces

“…Other examples include singer, drummer, guitar player, audience, stage, and close-up, such as the ones provided by youPinkPop, a video search engine for pop concerts [2]. Annotations can also be used to enrich videos using information coming from social networks [1]. Video exploration tools rely on annotations for recommending content to users.…”

Socially-aware video recommendation using users' profiles and crowdsourced annotations

“…Social similarity of videos, expressed as popularity distribution across social circles has been used to improve video recommendation in [10]. In [1], the social network of a user is exploited to create his initial user profile and to suggest him videos based on those tagged by his friends using a tool for temporal video commenting; video tagging is also used to update a list of user's interests that are mapped on semantic categories using DBPedia.…”