Paper
17 December 1998 Semantic feature extraction for interior environment understanding and retrieval
Zhibin Lei, Yufeng Liang
Author Affiliations +
Abstract
In this paper, we propose a novel system of semantic feature extraction and retrieval for interior design and decoration application. The system, V2ID(Virtual Visual Interior Design), uses colored texture and spatial edge layout to obtain simple information about global room environment. We address the domain-specific segmentation problem in our application and present techniques for obtaining semantic features from a room environment. We also discuss heuristics for making use of these features (color, texture, edge layout, and shape), to retrieve objects from an existing database. The final resynthesized room environment, with the original scene and objects from the database, is created for the purpose of animation and virtual walk-through.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhibin Lei and Yufeng Liang "Semantic feature extraction for interior environment understanding and retrieval", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333867
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KEYWORDS
Databases

Image processing

Image segmentation

Feature extraction

Cameras

Visualization

3D image processing

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