Video Situation Analysis Using Stream Data Processing

Speaker:  Sharma Chakravarthy – Bedford, TX, United States
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science


We are on the cusp of holistically analyzing a variety of data being collected in every walk of life in diverse ways. For this, current analytics and science are being extended (Big Data Analytics/Science) along with new approaches to benefit humanity at large in the best possible way. This warrants developing and/or using new approaches -- technological, scientific, and systems -- in addition to building upon and integrating with the ones that have been developed so far. With this ambitious goal, there is also the risk of these advancements being misused or abused as we have seen so many times with respect to new technologies.

In the first part of the presentation, we take the audience on a retrospective stroll on the approaches that have come about for managing and analyzing data over the last 40+ years. Since the advent of Database Management Systems (or DBMSs) and especially the Relational DBMSs (or RDBMSs), data management and analysis have seen several significant strides. Today, data has become an important tool (or even a weapon) in society and its role and importance is unprecedented.

Processing different types of data using novel techniques/approaches is part of big data analytics/science. We are applying tested approaches, such as stream data processing to new data types, such as video in order to facilitate querying of video for a class of queries based on the data extracted and its representation. This is a work in progress and we have shown its feasibility for some types of queries. We are also developing a system to establish proof of principle.

In second part of this talk, we first differentiate stream processing from traditional DBMS processing and indicate our overall approach to video situation analysis.

Sharma Chakravarthy is a co-author of the book “Stream Data Processing: A Quality of Service Perspective”, Springer-Verlag, April 2009 (ISBN: 978-0-387-71002-0).

About this Lecture

Number of Slides:  66
Duration:  60 minutes
Languages Available:  English
Last Updated: 

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