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Benjamin Bell

dblp:05/1420 · DBLP profile ↗
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7ranked-venue papers
6as first author
0since 2021 · last 1998
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 4 · 3 first-authorApplied, interdisciplinary, general and emerging computing · 4 · 3 first-authorArtificial intelligence and machine learning · 3 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 67% Multimedia analysis and retrieval · 33%
Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval › object tracking
contour tracking
0.011990
Contour Tracking and Corner Detection in a Logic Programming Environment · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Image and video processing › feature detection
corner detection
0.011990
Contour Tracking and Corner Detection in a Logic Programming Environment · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Image and video processing
feature detection
0.011990
Contour Tracking and Corner Detection in a Logic Programming Environment · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Programming languages and type systems
logic programming
0.011990
Contour Tracking and Corner Detection in a Logic Programming Environment · IEEE Trans. Pattern Anal. Mach. Intell. 1990

Methods — techniques the papers use, named apart from their topics

unification · 0.0prolog · 0.0backtracking · 0.0
YearPublicationVenuePosition
1998 The Use of 'War Stories' in Intelligent Learning Environments
Benjamin Bell, Jan Hawkins, R. Bowen Loftin, Tom T. Carey, Alex Kass
Intelligent Tutoring Systems1
1998 Semantics and Pedagogy in Authoring Educational Technology: Confronting the Mismatch Bewtween Researchers' Expectations and Users'
Benjamin Bell, Alex Kass, M. David Merrill, Tom Murray 0001, Brenda M. Wenzel
Intelligent Tutoring Systems1
1998 Methodologies for Tutoring in Procedural Domains
Carol L. Redfield, Benjamin Bell, Patricia Y. Hsieh, Joseph Lamos, R. Bowen Loftin, David Palumbo
Intelligent Tutoring Systems2
1992 Intelligent Tutoring with Dumb Software
Benjamin Bell, Richard G. Feifer
Intelligent Tutoring Systems1
1992 Context knowledge and search control issues in object-oriented Prolog-based image understanding
Benjamin Bell, Louis-François Pau
Pattern Recognit. Lett.1
1990 Context Knowledge and Search Control Issues in Object-Oriented Prolog-Based Image Understanding
Benjamin Bell, Louis-François Pau
ECAI1
1990 Contour Tracking and Corner Detection in a Logic Programming Environment
abstract
The added functionality such as contour tracking and corner detection which logic programming lends to standard image operators is described. An environment for implementing low-level imaging operations with Prolog predicates is considered. Within this environment, higher-level image predicates (contour tracking and corner detection) are constructed. The emphasis is not on building better corner detectors, but on presenting ways of using the unification and backtracking features of logic programming for these tasks. The performance of this implementation of contour tracking and corner detection has been very good in many more complex images, as it allows for feedback both ways between sensor input and symbolic models. More important is the parameter selection capability in a dynamic version where background properties change. The authors present examples of Prolog predicates for performing the contour and corner detection operations.>
Benjamin Bell, Louis-François Pau
IEEE Trans. Pattern Anal. Mach. Intell.1