Automatic Image Annotation Exploiting Textual and Visual Saliency

Automatic image annotation is an attractive service for users and administrators of online photo sharing websites. In this paper, we propose an image annotation approach exploiting visual and textual saliency. For textual saliency, a concept graph is firstly established based on the association betw...

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Bibliographic Details
Published inNeural Information Processing pp. 95 - 102
Main Authors Gu, Yun, Xue, Haoyang, Yang, Jie, Jia, Zhenhong
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Image Annotation
Textual Saliency
Visual Saliency
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Summary:Automatic image annotation is an attractive service for users and administrators of online photo sharing websites. In this paper, we propose an image annotation approach exploiting visual and textual saliency. For textual saliency, a concept graph is firstly established based on the association between the labels. Then semantic communities and latent textual saliency are detected; For visual saliency, we adopt a dual-layer BoW (DL-BoW) model integrated with the local features and salient regions of the image. Experiments on NUS-WIDE dataset demonstrate that the proposed method outperforms other state-of-the-art approaches.
ISBN:9783319126425
3319126423
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-12643-2_12