A Learning State-Space Model for Image Retrieval
This paper proposes an approach based on a state-space model for learning the user concepts in image retrieval. We first design a scheme of region-based image representation based on concept units, which are integrated with different types of feature spaces and with different region scales of image...
Main Authors: | Greg C. Lee, Yi-Ping Hung, Cheng-Chieh Chiang |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2007-01-01
|
Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/2007/83526 |
Similar Items
-
A Learning State-Space Model for Image Retrieval
by: Lee Greg C, et al.
Published: (2007-01-01) -
Content-Based Object Movie Retrieval and Relevance Feedbacks
by: Lee Greg C, et al.
Published: (2007-01-01) -
Content-Based Object Movie Retrieval and Relevance Feedbacks
by: Greg C. Lee, et al.
Published: (2007-01-01) -
A Framework for Region-Based Image Retrieval — Image Representation, Matching, and Learning
by: Cheng-Chieh Chiang, et al.
Published: (2007) -
Learning Image Classification and Retrieval Models
by: Mensink, Thomas
Published: (2012)