What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Machine learning
The scientist’s investigation covers issues in Artificial intelligence, Multimedia, Computer vision, Computer graphics and Video tracking.
Lynn D. Wilcox has researched Artificial intelligence in several fields, including Frame and Pattern recognition.
His research integrates issues of Session, World Wide Web, Information retrieval and Inkwell in his study of Multimedia.
His Computer vision research is multidisciplinary, incorporating elements of Control and Host.
His Computer graphics study combines topics in areas such as Object and Digital image.
His Video tracking study integrates concerns from other disciplines, such as Video capture and Video processing.
His most cited work include:
- System for the capture and replay of temporal data representing collaborative activities (344 citations)
- Methods and apparatuses for interactive similarity searching, retrieval and browsing of video (264 citations)
- Wordspotting for voice editing and indexing (262 citations)
What are the main themes of his work throughout his whole career to date?
Lynn D. Wilcox spends much of his time researching Artificial intelligence, Computer vision, Multimedia, Computer graphics and Information retrieval.
His work investigates the relationship between Artificial intelligence and topics such as Pattern recognition that intersect with problems in Minimum bounding box.
His work on Shot and Image as part of general Computer vision study is frequently connected to Interface and Process, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His research combines World Wide Web and Multimedia.
His Video tracking research integrates issues from Video capture and Motion compensation.
His research in Video capture intersects with topics in Uncompressed video and Video production.
He most often published in these fields:
- Artificial intelligence (39.07%)
- Computer vision (26.05%)
- Multimedia (25.58%)
What were the highlights of his more recent work (between 2008-2020)?
- Multimedia (25.58%)
- Information retrieval (16.28%)
- Artificial intelligence (39.07%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Multimedia, Information retrieval, Artificial intelligence, Computer vision and World Wide Web.
Lynn D. Wilcox has researched Multimedia in several fields, including Camera phone and Identification.
His Information retrieval research includes elements of Social media, Layout algorithm and Document clustering.
Artificial intelligence is often connected to Pattern recognition in his work.
His study in the field of Image is also linked to topics like Selection.
His World Wide Web study which covers Interactive video that intersects with Multimedia search and Multimedia information retrieval.
Between 2008 and 2020, his most popular works were:
- Pacer: fine-grained interactive paper via camera-touch hybrid gestures on a cell phone (67 citations)
- Embedded media markers and systems and methods for generating and using them (35 citations)
- Embedded media markers: marks on paper that signify associated media (28 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Machine learning
His scientific interests lie mostly in Information retrieval, Artificial intelligence, Computer vision, Phone and World Wide Web.
Lynn D. Wilcox combines subjects such as Multimedia and Layout algorithm with his study of Information retrieval.
His study in Multimedia is interdisciplinary in nature, drawing from both Social media and Similarity.
His Tree research extends to the thematically linked field of Artificial intelligence.
His Computer vision study incorporates themes from Task and Sight.
His work on Bookmarking as part of general World Wide Web research is often related to Organizational hierarchy, Degree of interest and Directory structure, thus linking different fields of science.
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