What is she best known for?
The fields of study she is best known for:
- Operating system
- Artificial intelligence
- Computer network
The scientist’s investigation covers issues in Computer vision, Artificial intelligence, Multimedia, Video tracking and Video browsing.
Her Computer vision study integrates concerns from other disciplines, such as Cluster analysis and Pattern recognition.
Minerva M. Yeung interconnects Interface and Interfacing in the investigation of issues within Artificial intelligence.
Her Multimedia research is multidisciplinary, incorporating perspectives in Digital video, Peer to peer computing, Transcoding and Digital Watermarking Alliance, Digital watermarking.
Her work in Video tracking covers topics such as Image segmentation which are related to areas like Visualization, Data visualization and Video Library.
Her study in Video browsing is interdisciplinary in nature, drawing from both Sequential access, Parsing and Interactive video.
Her most cited work include:
- Resolving rightful ownerships with invisible watermarking techniques: limitations, attacks, and implications (460 citations)
- An invisible watermarking technique for image verification (440 citations)
- Interface using pattern recognition and tracking (389 citations)
What are the main themes of her work throughout her whole career to date?
Artificial intelligence, Computer vision, Multimedia, Digital watermarking and Watermark are her primary areas of study.
Minerva M. Yeung performs multidisciplinary study in Artificial intelligence and Set in her work.
Her research on Computer vision often connects related topics like Key.
Her Digital content study, which is part of a larger body of work in Multimedia, is frequently linked to Digital library, bridging the gap between disciplines.
Her Digital watermarking study incorporates themes from Image processing, Information hiding, Robustness and Computer security.
Her Watermark research includes themes of JPEG, Computer hardware and Authentication.
She most often published in these fields:
- Artificial intelligence (33.91%)
- Computer vision (30.43%)
- Multimedia (20.87%)
What were the highlights of her more recent work (between 2001-2013)?
- Artificial intelligence (33.91%)
- Computer hardware (10.43%)
- Multimedia (20.87%)
In recent papers she was focusing on the following fields of study:
Minerva M. Yeung spends much of her time researching Artificial intelligence, Computer hardware, Multimedia, Computer vision and Key.
Her Artificial intelligence research is multidisciplinary, incorporating elements of Process and Natural language processing.
Her research integrates issues of Image content, Pointing device and Computer graphics, Rendering in her study of Multimedia.
Image is the focus of her Computer vision research.
Her Image research focuses on subjects like Animation, which are linked to Table.
Her Parallel computing research incorporates elements of Byte and Digital watermarking.
Between 2001 and 2013, her most popular works were:
- Multicast and unicast real-time video streaming over wireless LANs (246 citations)
- On the importance of exact synchronization for distributed audio signal processing (92 citations)
- Method and apparatus for parallel table lookup using SIMD instructions (37 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Computer network
Minerva M. Yeung mostly deals with Computer hardware, Row, SIMD, Parallel computing and Real-time computing.
Her work on Cache coloring expands to the thematically related Computer hardware.
Her studies in Row integrate themes in fields like Byte and Arithmetic.
The study incorporates disciplines such as Data bits, Variable length and Bitstream in addition to SIMD.
Her Parallel computing investigation overlaps with other areas such as Branch table and Set.
Her work often combines Real-time computing and Collaborative signal processing studies.
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