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- Title
Cognition inspired framework for indoor scene annotation.
- Authors
Zhipeng Ye; Peng Liu; Wei Zhao; Xianglong Tang
- Abstract
We present a simple yet effective scene annotation framework based on a combination of bag-ofvisual words (BoVW), three-dimensional scene structure estimation, scene context, and cognitive theory. From a macroperspective, the proposed cognition-based hybrid motivation framework divides the annotation problem into empirical inference and real-time classification. Inspired by the inference ability of human beings, common objects of indoor scenes are defined for experience-based inference, while in the real-time classification stage, an improved BoVW-based multilayer abstract semantics labeling method is proposed by introducing abstract semantic hierarchies to narrow the semantic gap and improve the performance of object categorization. The proposed framework was evaluated on a variety of common data sets and experimental results proved its effectiveness.
- Subjects
IMAGE processing; THREE-dimensional display systems; MARKOV random fields; COGNITIVE ability; COGNITIVE learning theory
- Publication
Journal of Electronic Imaging, 2015, Vol 24, Issue 5, p053013-1
- ISSN
1017-9909
- Publication type
Article
- DOI
10.1117/1.JEI.24.5.053013