Visible to the public Exploration of Large Image Corpuses in Virtual Reality

TitleExploration of Large Image Corpuses in Virtual Reality
Publication TypeConference Paper
Year of Publication2016
AuthorsKhanwalkar, Sanket, Balakrishna, Shonali, Jain, Ramesh
Conference NameProceedings of the 2016 ACM on Multimedia Conference
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-3603-1
KeywordsBig Data, composability, confinement, Human Behavior, image exploration, multimedia, pubcrawl, Resiliency, virtual reality
Abstract

With the increasing capture of photos and their proliferation on social media, there is a pressing need for a more intuitive and versatile image search and exploration system. Image search systems have long been confined to the binds of the 2D legacy screens and the keyword text-box. With the recent advances in Virtual Reality (VR) technology, a move towards an immersive VR environment will redefine the image navigation experience. To this end, we propose a VR platform that gathers images from various sources, and addresses the 5 Ws of image search - what, where, when, who and why. We achieve this by providing the user with two modes of interactive exploration - (i) A mode that allows for a graph based navigation of an image dataset, using a steering wheel visualization, along multiple dimensions of time, location, visual concept, people, etc. and (ii) Another mode that provides an intuitive exploration of the image dataset using a logical hierarchy of visual concepts. Our contributions include creating a VR image exploration experience that is intuitive and allows image navigation along multiple dimensions.

URLhttp://doi.acm.org/10.1145/2964284.2967291
DOI10.1145/2964284.2967291
Citation Keykhanwalkar_exploration_2016