MediaMatrix: a video stream retrieval system with mechanisms for mining contexts of query examples

Authors:
Shuichi Kurabayashi;Yasushi Kiyoki
Affiliations:
Graduate School of Media and Governance, Keio University, Kanagawa, Japan;Graduate School of Media and Governance, Keio University, Kanagawa, Japan
Venue:
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
Year:
2010

Citing 2
Cited 1

A metadatabase system for semantic image search by a mathematical model of meaning

ACM SIGMOD Record
A Context-Based Whole Video Retrieval System with Dynamic Video Stream Analysis Mechanisms

ISM '09 Proceedings of the 2009 11th IEEE International Symposium on Multimedia

Multimedia data mining: state of the art and challenges

Multimedia Tools and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a context-based whole video retrieval system that retrieves an entire video stream, not just individual scenes in videos. The main feature of this system is a novel query processing paradigm that involves data mining techniques to extract a query context, which is expressed as a combination of multiple videos. A query for this system consists of an example video and a context video. The example video is for representing the color-emotions hidden within video content, which are extracted using methods developed for color psychology research. The context video is for performing a context relevance computation between the example video and videos in a database. This paper demonstrates an implemented system that includes a SQL-like video stream query language and mechanisms for visualizing emotive contexts of a video stream.