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Ting-Sheng Lai

dblp:79/2582 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3 · 2 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.

Databases, data mining, and information retrieval
3 papers
Information retrieval · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › image retrieval
content-based image retrieval		 0.132001
Evaluating a Content Based Image Retrieval System · SIGIR 2001
CHROMA: A Content-based Image Retrieval System (demonstration abstract) · SIGIR 1999
Using Global Colour Features for General Photographic Image Indexing and Retrieval · SIGIR 1998
Information retrieval › evaluation
user-oriented evaluation		 0.012001
Evaluating a Content Based Image Retrieval System · SIGIR 2001
Image and video processing › color image processing
color feature extraction		 0.011998
Using Global Colour Features for General Photographic Image Indexing and Retrieval · SIGIR 1998
Information retrieval › interactive information retrieval
browsing		 0.012001
Evaluating a Content Based Image Retrieval System · SIGIR 2001

Methods — techniques the papers use, named apart from their topics

global color features · 0.0
YearPublicationVenuePosition
2001 Evaluating a Content Based Image Retrieval System
abstract
Content Based Image Retrieval (CBIR) presents special challenges in terms of how image data is indexed, accessed, and how end systems are evaluated. This paper discusses the design of a CBIR system that uses global colour as the primary indexing key, and a user centered evaluation of the systems visual search tools. The results indicate that users are able to make use of a range of visual search tools, and that different tools are used at different points in the search process. The results also show that the provision of a structured navigation and browsing tool can support image retrieval, particularly in situations in which the user does not have a target image in mind. The results are discussed in terms of their implications for the design of visual search tools, and their implications for the use of user-centered evaluation for CBIR systems.
Sharon McDonald, John Tait, Ting-Sheng Lai
 SIGIR3
1999 CHROMA: A Content-based Image Retrieval System (demonstration abstract)
abstract
No abstract available.
Ting-Sheng Lai, John Tait
 SIGIR1
1998 Using Global Colour Features for General Photographic Image Indexing and Retrieval
abstract
No abstract available.
Ting-Sheng Lai, John Tait
 SIGIR1