ThumbReels

Abstract

During online search, the user's expectations often differ from those of the author. This is known as the 'intention gap' and is particularly problematic when searching for and discriminating between online video content. An author uses description and meta-data tags to label their content, but often cannot predict alternate interpretations or appropriations of their work. To address this intention gap, we present ThumbReels, a concept for query-sensitive video previews generated from crowdsourced, temporally defined semantic tagging. Further, we supply an open-source tool that supports on-the-fly temporal tagging of videos, whose output can be used for later search queries. A first user study validates the tool and concept. We then present a second study that shows participants found ThumbReels to better represent search terms than contemporary preview techniques.

Construction of a Switching Support System for Live Broadcast of Oral Presentation

“…VidCrit captures reviewers' spoken comments and mouse interactions as well as physical actions of the reviewers and provides feedback interfaces of transcribed/segmented reviews. Craggs et al presented a query-sensitive animated preview generated from crowdsourced semantic tagging [3] for online videos. DeCamp and Roy proposed a system for annotating the location and identity of people and objects in a multi-camera video [4].…”

Towards Semantic User Query: A Review

“…However, researchin providing user interface support for CBIR systems is scarce (Pečenovió et al, 2000;Santini and Jain, 2000;Nazakato et al, 2003;Heesch, 2008) until recently. Search engines designed to bridge the intention gap tend to integrate textual (keywords or tags) and visual features (Chen et al, 2013;Zhu et al, 2014;Craggs et al, 2014).…”