Fusion of Deep Learning and Compressed Domain Features for Content-Based Image Retrieval

This paper presents an effective image retrieval method by combining high-level features from convolutional neural network (CNN) model and low-level features from dot-diffused block truncation coding (DDBTC). The low-level features, e.g., texture and color, are constructed by vector quantization -in...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 12 vom: 30. Dez., Seite 5706-5717
1. Verfasser:	Peizhong Liu (VerfasserIn)
Weitere Verfasser:	Jing-Ming Guo, Chi-Yi Wu, Danlin Cai
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2017
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article