Demo Data from VLDB 2026 / reviewers in the wild / expert
Daniel T. Lee
dblp:63/5538
· DBLP profile ↗
4ranked-venue papers
2as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorSystems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 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
2 papers |
Image and video coding · 91% Multimedia systems and quality of experience · 9% Image and video processing · 0% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Processor architecture and microarchitecture · 50% Electronic design automation · 50% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding
image compression |
0.1 | 1 | 2005 | JPEG 2000: Retrospective and New Developments · Proc. IEEE 2005 |
Image and video coding › image compression › wavelet-based image coding
JPEG2000 |
0.1 | 1 | 2005 | JPEG 2000: Retrospective and New Developments · Proc. IEEE 2005 |
Image and video coding › scalable coding
scalable image coding |
0.1 | 1 | 2005 | JPEG 2000: Retrospective and New Developments · Proc. IEEE 2005 |
Processor architecture and microarchitecture
multiprocessor architecture |
0.0 | 1 | 1982 | A Microprocessor-Based Office Image Processing System · IEEE Trans. Computers 1982 |
Electronic design automation › high-level synthesis › scheduling
processor scheduling |
0.0 | 1 | 1982 | A Microprocessor-Based Office Image Processing System · IEEE Trans. Computers 1982 |
Methods — techniques the papers use, named apart from their topics
wavelet transform · 0.1performance modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | JPEG 2000: Retrospective and New DevelopmentsabstractJPEG 2000 is a new image coding system that delivers superior compression performance and provides many advanced features in scalability, flexibility, and system functionalities that outperform all previous standards. It brings exciting possibilities to many imaging applications such as the Internet, wireless, security, and digital cinema. This paper gives an overview of this triumph in innovations and teamwork. It gives brief introductions to the four new parts that are under development by the JPEG committee. It attempts to summarize the lessons learned from the JPEG 2000 development experience and draw some conclusions on the success factors of this important standard. Daniel T. Lee |
Proc. IEEE | 1 |
| 2002 | JPEG 2000
Touradj Ebrahimi, Charilaos A. Christopoulos, Daniel T. Lee |
Signal Process. Image Commun. | 3 |
| 1996 | New opportunities in digital imaging systemsabstractThe widespread adoption of the Internet as a new paradigm for delivering client/server imaging applications has created exciting opportunities for digital imaging. This paper presents several examples of how Hewlett-Packard is building collaborative relationships with industry and universities to help meet the challenge. To encourage industries to collaborate on development of open industry standards, Hewlett-Packard has worked with industries to develop new image file formats and to contribute to imaging standardization activities. To encourage interdisciplinary collaborations in imaging research and education, Hewlett-Packard is supporting the development of university curricula that combine the disciplines of psychology, neuroscience, computer science and electrical engineering into a coherent engineering curriculum. To stimulate the development of new image processing methods, Hewlett-Packard Laboratories is investigating new approaches to image processing, such as Occam filtering and geometry driven partial differential equations for imaging. Daniel T. Lee |
ICIP (1) | 1 |
| 1982 | A Microprocessor-Based Office Image Processing SystemabstractThis paper presents a multiprocessor system architecture and the scheduling policies of the processors which can off-load a host computer in the image processing of office documents. The objective of this system is to provide extensive image processing capabilities at minimum cost and with an acceptable interactive response time. Multiprocessor system architecture, image partitioning strategies, image processing algorithm characteristics, performance modeling, and processor scheduling policies are investigated. A prototype multiprocessor image processing system has been built at the IBM San Jose Research Laboratory. Lionel M. Ni, Kwan Y. Wong, Daniel T. Lee, Ronnie K. Poon |
IEEE Trans. Computers | 3 |