Context Aware Location Identification in Social Media Environment

Radhika, Pathuri Siva Kumar

Abstract: The explosive growth of photos/videos and the advent of media sharing services have drastically increased the volume of user contributed multimedia resources, which bring profound social impacts to the society and pose new challenges for the design of efficient search, mining, and visualization methods for manipulation. Besides plain visual or audio signals, such large-scale media are augmented with rich context such as user-provided tags, geolocations, time, device metadata, and so on, benefiting a wide variety of potential applications such as annotation, automatic training data acquisition, contextual advertising, and visualization. We review the research advances for enabling such applications and present a brief outlook on open issues and major opportunities.

Keywords: social media, multimedia annotation, multimedia search, multimedia advertising, visualization, machine learning, survey

How to Cite?: Radhika, Pathuri Siva Kumar, "Context Aware Location Identification in Social Media Environment", Volume 4 Issue 11, November 2015, International Journal of Science and Research (IJSR), Pages: 1685-1689, https://www.ijsr.net/getabstract.php?paperid=NOV151065, DOI: https://dx.doi.org/10.21275/NOV151065