Skip to Main content Skip to Navigation
Conference papers

Towards Personalized Image Retrieval

Abstract : This paper describes an approach to personalized image indexing and retrieval. To tackle the issue of subjectivity in Content-Based Image Retrieval (CBIR), users can define their own indexing vocabulary and make the system learn it. These indexing concepts may be both local (objects) and global (image ategories). The system guides the user in the selection of relevant training examples. Concept learning in the system is incremental and hierarchical: global concepts are built upon local concepts as well as low-level features. Similarity measures tuning is used to emphasize relevant features for a given concept. To illustrate the potential of this approach, an implementation of this model has been developed; preliminary results are given in this paper.
Document type :
Conference papers
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download

https://hal.inria.fr/hal-00953925
Contributor : Marie-Christine Fauvet <>
Submitted on : Monday, March 3, 2014 - 12:55:58 PM
Last modification on : Tuesday, December 8, 2020 - 10:42:46 AM
Long-term archiving on: : Saturday, May 31, 2014 - 10:50:43 AM

File

Bissol_CameraReady_AMR04.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00953925, version 1

Collections

Citation

Stéphane Bissol, Philippe Mulhem, Yves Chiaramella. Towards Personalized Image Retrieval. 2nd International Workshop on Adaptive Multimedia Retrieval, 2004, Valencia, Spain. pp.89--102. ⟨hal-00953925⟩

Share

Metrics

Record views

297

Files downloads

99