What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Computer vision
Jonathan J. Hull mainly focuses on Multimedia, Artificial intelligence, World Wide Web, Mixed media and Information retrieval.
His studies in Multimedia integrate themes in fields like User interface, Paper document, Resource allocation and Presentation.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Natural language processing, Computer vision and Pattern recognition.
The various areas that Jonathan J. Hull examines in his Pattern recognition study include Machine learning and Representation.
Jonathan J. Hull interconnects Embedding, Local area network, Engineering drawing and Workstation in the investigation of issues within World Wide Web.
Jonathan J. Hull combines subjects such as Graphical user interface, Representation, Document layout analysis and Document clustering with his study of Information retrieval.
His most cited work include:
- A database for handwritten text recognition research (1410 citations)
- Decision combination in multiple classifier systems (1409 citations)
- Wireless image transfer from a digital still video camera to a networked computer (357 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Information retrieval, Multimedia, World Wide Web and Computer vision are his primary areas of study.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Natural language processing, Speech recognition and Pattern recognition.
The various areas that Jonathan J. Hull examines in his Pattern recognition study include Feature and Optical character recognition.
His Electronic document, Document management system and Document retrieval study in the realm of Information retrieval connects with subjects such as Matching.
In the field of Multimedia, his study on Multimedia information overlaps with subjects such as Mixed media.
His study brings together the fields of Computer graphics and Computer vision.
He most often published in these fields:
- Artificial intelligence (29.53%)
- Information retrieval (25.44%)
- Multimedia (25.15%)
What were the highlights of his more recent work (between 2007-2019)?
- Information retrieval (25.44%)
- Mobile device (5.85%)
- Computer vision (15.20%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Information retrieval, Mobile device, Computer vision, Artificial intelligence and Mixed media.
His Information retrieval research incorporates elements of Context, Scalability, Index, Computer program and Image retrieval.
Mobile device is a subfield of World Wide Web that he studies.
His Artificial intelligence research incorporates themes from Antenna and Optics.
Other disciplines of study, such as Multimedia, Digital content and Hyperlink, are mixed together with his Mixed media studies.
In most of his Multimedia studies, his work intersects topics such as Mobile phone.
Between 2007 and 2019, his most popular works were:
- Method and system to control ambient RF energy for wireless devices (193 citations)
- Dynamic presentation of targeted information in a mixed media reality recognition system (175 citations)
- Paper-Based Augmented Reality (87 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Computer vision
His scientific interests lie mostly in Mobile device, Information retrieval, Mixed media, Artificial intelligence and Computer vision.
His Mobile device study also includes fields such as
- Image query which connect with Data mining,
- Image registration that intertwine with fields like Pattern recognition and Classifier.
In general Information retrieval study, his work on Electronic document often relates to the realm of Content type, thereby connecting several areas of interest.
He integrates Mixed media and Multimedia in his research.
His research on Multimedia often connects related areas such as Hyperlink.
His Image, Image capture and Automatic image annotation study are his primary interests in Artificial intelligence.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
