Semantic feature extraction for interior environment understanding and retrieval

Zhibin Lei; Yufeng Liang

doi:10.1117/12.333867

17 December 1998 Semantic feature extraction for interior environment understanding and retrieval

Zhibin Lei, Yufeng Liang

Proceedings Volume 3656, Storage and Retrieval for Image and Video Databases VII; (1998) https://doi.org/10.1117/12.333867
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

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.

Citation Download Citation

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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