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» Using High-Level Semantic Features in Video Retrieval
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ICIP
2005
IEEE
15 years 11 months ago
Semantic kernel learning for interactive image retrieval
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
Philippe Henri Gosselin, Matthieu Cord
INFORMATICALT
2007
136views more  INFORMATICALT 2007»
14 years 9 months ago
Generic Multimedia Database Architecture Based upon Semantic Libraries
Semantic-based storage and retrieval of multimedia data requires accurate annotation of the data. Annotation can be done either manually or automatically. The retrieval performance...
Omara Abdul Hamid, Muhammad Abdul Qadir, Nadeem If...
VLSISP
1998
140views more  VLSISP 1998»
14 years 9 months ago
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past severa...
Zhu Liu, Yao Wang, Tsuhan Chen
PR
2002
140views more  PR 2002»
14 years 9 months ago
Negotiating the semantic gap: from feature maps to semantic landscapes
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic inde...
Rong Zhao, William I. Grosky
MM
2000
ACM
98views Multimedia» more  MM 2000»
15 years 1 months ago
Key-frame extraction and shot retrieval using nearest feature line (NFL)
Query by key frame or video example is a convenient and often effective way to search in video database. This paper proposes a new approach to support such searches. The main cont...
Li Zhao, Wei Qi, Stan Z. Li, Shi-Qiang Yang, HongJ...