Geoffrey B. Rhoads

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Computer vision
• The Internet

The scientist’s investigation covers issues in Digital watermarking, Watermark, Artificial intelligence, Computer vision and Identifier. His Digital watermarking study integrates concerns from other disciplines, such as Decoding methods, Computer hardware, Hash function and Signal. His Watermark research is multidisciplinary, incorporating perspectives in Multimedia, Key and Information retrieval.

His work on Image, Visual saliency and Geometric primitive as part of general Artificial intelligence research is often related to Process and Packaging and labeling, thus linking different fields of science. His work on Tracking, Rotation and Coordinate system as part of general Computer vision research is frequently linked to Measure, thereby connecting diverse disciplines of science. Geoffrey B. Rhoads has included themes like Web service, Metadata, World Wide Web and Digital content in his Identifier study.

His most cited work include:

• Connected audio and other media objects (1022 citations)
• Intuitive computing methods and systems (1015 citations)
• Content sensitive connected content (535 citations)

What are the main themes of his work throughout his whole career to date?

Geoffrey B. Rhoads spends much of his time researching Artificial intelligence, Computer vision, Digital watermarking, Watermark and Multimedia. His research in Artificial intelligence tackles topics such as Signal which are related to areas like Computer hardware. His Video capture and Image capture study, which is part of a larger body of work in Computer vision, is frequently linked to Geography and Domain, bridging the gap between disciplines.

His work focuses on many connections between Digital watermarking and other disciplines, such as Identifier, that overlap with his field of interest in Metadata, Information retrieval, Fingerprint and Hash function. His biological study spans a wide range of topics, including Object and Decoding methods, Decodes. His Multimedia research is multidisciplinary, relying on both Variety, The Internet and Reading.

He most often published in these fields:

• Artificial intelligence (35.10%)
• Computer vision (31.13%)
• Digital watermarking (29.14%)

What were the highlights of his more recent work (between 2009-2019)?

• Artificial intelligence (35.10%)
• Computer vision (31.13%)
• Multimedia (25.17%)

In recent papers he was focusing on the following fields of study:

Geoffrey B. Rhoads mainly focuses on Artificial intelligence, Computer vision, Multimedia, Watermark and Variety. Geoffrey B. Rhoads performs integrative study on Artificial intelligence and Imaging spectrometer in his works. His Decoding methods research extends to the thematically linked field of Computer vision.

He interconnects Image processing and Rendering in the investigation of issues within Multimedia. The concepts of his Watermark study are interwoven with issues in Pose, Steganography and Digital watermarking. The Variety study combines topics in areas such as Interactivity and World Wide Web.

Between 2009 and 2019, his most popular works were:

• Intuitive computing methods and systems (1015 citations)
• Methods and arrangements for identifying objects (459 citations)
• Sensor-based mobile search, related methods and systems (286 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• The Internet
• Computer vision

Geoffrey B. Rhoads spends much of his time researching Multimedia, Computer vision, Artificial intelligence, Smart phone and Image processing. His work on Media content as part of general Multimedia research is frequently linked to Scripting language, bridging the gap between disciplines. In his research, he undertakes multidisciplinary study on Computer vision and Imaging spectrometer.

His Artificial intelligence study frequently involves adjacent topics like Identification. Smart phone combines with fields such as Cognition, Resource constraints, Cloud computing and Variety in his investigation. There are a combination of areas like Phone and Mobile search integrated together with his Cognition study.