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Text-based image retrieval system using semantic visual content for re-ranking

delete2025-07-30
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PRE
AI
B
Berkay Topçu *
A
Alper Mıtıncık
M
Merve Gülnaz Erdem
B
Berrin Yanıkoğlu
DOI:10.1016/j.engappai.2025.111770delete
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Abstract

Abstract

En 中文
• Overview of the workings of a commercial image retrieval system, filling a gap in existing literature. • Text-based retrieval is significantly improved using content analysis via deep image embeddings. • Filtering irrelevant images is possible by clustering candidate images based on embeddings. • Re-ranking is possible based on the novel idea of a “master image” of a query.
Keywords:
image retrieval
deep image embeddings
clustering
re-ranking
master image

Journal

Engineering Applications of Artificial Intelligence cover
Engineering Applications of Artificial Intelligence
IF:
8
Papers:
5.4K
Citations:
3.5W

Organization

S
sabancıuniversity
Scholars:
1
Papers: 1
Citations: 0
D
department of advanced analytics
Scholars:
1
Papers: 1
Citations: 0
T
Turkcell Technology
Scholars:
2
Papers: 1
Citations: 0
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