Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Meng Yang 0006

dblp:44/2761-6 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 2019
0009-0006-2267-7612ORCID · corroborated

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

Databases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 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
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval › video retrieval › semantic video retrieval
concept-based video retrieval
0.012004
The relative effectiveness of concept-based versus content-based video retrieval · ACM Multimedia 2004
Multimedia analysis and retrieval
video retrieval
0.012004
The relative effectiveness of concept-based versus content-based video retrieval · ACM Multimedia 2004

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

interactive search evaluation · 0.0
YearPublicationVenuePosition
2019 The usefulness of multimedia surrogates for making relevance judgments about digital video objects
Barbara M. Wildemuth, Gary Marchionini, Xin Fu 0002, Jun Sung Oh, Meng Yang 0006
Inf. Process. Manag.5
2004 The relative effectiveness of concept-based versus content-based video retrieval
abstract
Three video search systems were compared in the interactive search task at the TRECVID 2003 workshop: a text-only system, which searched video shots through transcripts; a features-only system, which searched video shots through 16 video content features (e.g., airplanes and people); and a combined system, which searched through both transcripts and content features. 36 participants each completed 12 video search tasks. The hypothesis that the combined system would perform better than both the text-only and the features-only systems was not supported, and large topic effects were found. Further analysis showed that concept-based video retrieval worked best for specific topics, whereas the hybrid retrieval techniques which combine both concept- and content-based video retrieval showed some advantage when searching for generic topics. The results have implications for topic/task analysis for video retrieval research, and also for the implementation of hybrid video retrieval systems.
Meng Yang 0006, Barbara M. Wildemuth, Gary Marchionini
ACM Multimedia1