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Arif Ghafoor

Researcher at Purdue University

Publications -  264
Citations -  8222

Arif Ghafoor is an academic researcher from Purdue University. The author has contributed to research in topics: Access control & Role-based access control. The author has an hindex of 44, co-authored 263 publications receiving 8067 citations. Previous affiliations of Arif Ghafoor include United States Department of the Army & University College West.

Papers
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Journal ArticleDOI

Dynamic Resource Allocation for Multimedia Document Retrieval over High Speed LANs

TL;DR: This paper proposes a mechanism for dynamically allocating network resources in asynchronous LANs that uses the concept of Time Division Multiple Access (TDMA), and proposes a framework for graceful degradation of play-out quality of multimedia objects in case the LAN's total capacity is not sufficient to meet the overall demand.
Proceedings ArticleDOI

FSM-based model for spatio-temporal event recognition for HCS

TL;DR: A finite state machine (FSM)-based model for specification and identification of spatio-temporal events at the single-cell level is presented and results for a time-lapse apoptosis screen are presented.
Proceedings ArticleDOI

Quantitative Analysis of Inter-object Spatial Relationships in Biological Images

TL;DR: A variety of algorithms for inter-object spatial relations in two- and three-dimensional space are presented, providing trade-off between speed and accuracy, depending on the requirements of the application.
Proceedings ArticleDOI

Distributed framework for real-time multimedia object communication

TL;DR: This work presents a reference architecture for a Web-based real-time distributed multimedia system which integrates enabling technologies including real- time streaming, multimedia indexing and searching and distributed object management.
Proceedings ArticleDOI

Evaluation of filtering mechanisms for MPEG video communications

TL;DR: Evaluating two video filtering mechanisms for MPEG-1 video, namely low-pass filtering and selective frame dropping, revealed that these filtering mechanisms result in a significant reduction in bandwidth requirements while maintaining acceptable perceptual quality.