NDLI: Joint Video and Text Parsing for Understanding Events and Answering Queries

Please wait, while we are loading the content...

Joint Video and Text Parsing for Understanding Events and Answering Queries

Content Provider	IEEE Xplore Digital Library
Author	Kewei Tu Meng Meng Mun Wai Lee Tae Eun Choe Song-Chun Zhu
Copyright Year	1994
Abstract	This article proposes a multimedia analysis framework to process video and text jointly for understanding events and answering user queries. The framework produces a parse graph that represents the compositional structures of spatial information (objects and scenes), temporal information (actions and events), and causal information (causalities between events and fluents) in the video and text. The knowledge representation of the framework is based on a spatial-temporal-causal AND-OR graph (S/T/C-AOG), which jointly models possible hierarchical compositions of objects, scenes, and events as well as their interactions and mutual contexts, and specifies the prior probabilistic distribution of the parse graphs. The authors present a probabilistic generative model for joint parsing that captures the relations between the input video/text, their corresponding parse graphs, and the joint parse graph. Based on the probabilistic model, the authors propose a joint parsing system consisting of three modules: video parsing, text parsing, and joint inference. Video parsing and text parsing produce two parse graphs from the input video and text, respectively. The joint inference module produces a joint parse graph by performing matching, deduction, and revision on the video and text parse graphs. The proposed framework has the following objectives: to provide deep semantic parsing of video and text that goes beyond the traditional bag-of-words approaches; to perform parsing and reasoning across the spatial, temporal, and causal dimensions based on the joint S/T/C-AOG representation; and to show that deep joint parsing facilitates subsequent applications such as generating narrative text descriptions and answering queries in the forms of who, what, when, where, and why. The authors empirically evaluated the system based on comparison against ground-truth as well as accuracy of query answering and obtained satisfactory results.
Sponsorship	IEEE Computer Society
Starting Page	42
Ending Page	70
Page Count	29
File Size	5126970
File Format	PDF
ISSN	1070986X
Volume Number	21
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text recognition Semantics Computer vision Multimedia communication Streaming media Probabilistic logic Computational modeling query answering multimedia joint video and text parsing knowledge representation AND-OR graph multimedia video analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Science Applications Software Hardware and Architecture Media Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Joint Video and Text Parsing for Understanding Events and Answering Queries

Exemplar queries: a new way of searching

Multimedia Question Answering

Exploring probabilistic localized video representation for human action recognition

Multimedia electronic chronicles

Semantic MPEG Query Format Validation and Processing

Query Answering over Uncertain RDF Knowledge Bases: Explain and Obviate Unsuccessful Query Results

Concept modeling: From origins to multimedia

Personalized Coverage of Large Athletic Events

Joint Video and Text Parsing for Understanding Events and Answering Queries

Similar Documents

Joint Video and Text Parsing for Understanding Events and Answering Queries

Exemplar queries: a new way of searching

Multimedia Question Answering

Exploring probabilistic localized video representation for human action recognition

Multimedia electronic chronicles

Semantic MPEG Query Format Validation and Processing

Query Answering over Uncertain RDF Knowledge Bases: Explain and Obviate Unsuccessful Query Results

Concept modeling: From origins to multimedia

Personalized Coverage of Large Athletic Events

Joint Video and Text Parsing for Understanding Events and Answering Queries