Scene hierarchy : a missing piece in scene classification

Leng Yusong, Lin Xiaotian, Bharath Ramesh, Xiang Cheng, Lee Tong Heng

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

![CDATA[With the ultimate aim of semantic understanding of visual scenes, categorizing them into meaningful groups has been a central task in computer vision for more than two decades. From classical handcrafted features to recent self-learnt features, substantial progress has been made to improve its performance. Failed to be noticed by most solutions proposed so far, a hierarchical structure existing in scene categories, termed as scene hierarchy, is discovered in this paper. We argue that such hierarchy could reveal the latent relations among different visual scenes and further advance the state of the art of scene classification. In particular, we present a data-driven approach to identify the scene hierarchy and demonstrate its effectiveness in assisting scene classification.]]
Original languageEnglish
Title of host publicationProceedings of 2018 14th IEEE International Conference on Control and Automation (ICCA 2018), Anchorage, Alaska, 12-15 June, 2018
PublisherIEEE
Pages253-258
Number of pages6
ISBN (Print)9781538660898
DOIs
Publication statusPublished - 2018
EventInternational Conference on Control and Automation -
Duration: 12 Jun 2018 → …

Publication series

Name
ISSN (Print)1948-3449

Conference

ConferenceInternational Conference on Control and Automation
Period12/06/18 → …

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