A Hybrid Deep Learning Architecture for Latent Topic-based Image Retrieval

A Hybrid Deep Learning Architecture for Latent Topic-based Image Retrieval

Abstract Learning effective feature descriptors that bridge the semantic gap between low-level visual features directly extracted from image pixels and the corresponding high-level semantics perceived by humans is a challenging task in image retrieval. This paper proposes a hybrid deep learning arch...

Full description

Bibliographic Details
Main Authors: K. S. Arun, V. K. Govindan
Format: Article
Language:English
Published: SpringerOpen 2018-04-01
Series:Data Science and Engineering
Subjects:
Image retrieval
Deep learning
Latent topics
Online Access:http://link.springer.com/article/10.1007/s41019-018-0063-7

Similar Items

Similar Items