Demo paper: Savant - A Semantic Video Parsing and Tagging system

Author

Nguyen, Hung T. ; Hai Wei ; Sheorey, Sameer ; Trinh, Hieu

Author_Institution

UtopiaCompression Corp., Los Angeles, CA, USA

fYear

2013

fDate

15-19 July 2013

Firstpage

1

Lastpage

2

Abstract

We demonstrate a surveillance video tagging and search system that transforms input live raw video streams into semantic metadata structures through automatic object detection, tracking, classification and event recognition. The metadata generated through online video analysis and stored in spatial databases enable various types of user queries on the semantic content of archived video. They also allow for browsing and navigation through the video database effectively and efficiently. The system works with different application domains and camera setups.

Keywords

image classification; information retrieval systems; meta data; object recognition; object tracking; spatial data structures; video retrieval; video streaming; video surveillance; visual databases; Savant; archived video semantic content; automatic object classification; automatic object detection; automatic object tracking; event recognition; input live raw video streams; online video analysis; semantic metadata structures; semantic video parsing system; semantic video tagging system; spatial databases; surveillance video search system; surveillance video tagging system; user queries; Cameras; Context; Graphical user interfaces; Object detection; Semantics; Streaming media; Tagging; semantic video tagging; video search and retrieval; video surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on

Conference_Location

San Jose, CA

Type

conf

DOI

10.1109/ICMEW.2013.6618223

Filename

6618223