Performance and Analysis of the Automated Semantic Object and Spatial Relationships Extraction in Traffic Images

Publish Year: 1392
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_ACSIJ-2-4_003

تاریخ نمایه سازی: 24 فروردین 1393

Abstract:

Extraction and representation of spatial relations semantics among objects are important as it can convey important information about the image and to further increase the confidence in image understanding which contributes to richer querying and retrieval facilities. This paper discusses the performance of the automatedobject spatial relationships semantic information extraction as proposed. Experiments have been conducted to demonstrate thatthe proposed automated object spatial relationship semantic extraction is succeeded to capture the semantic spatial relationshipfeatures in the images.

Authors

Wang Hui Hui

Department of Software Engineering and Computing, Faculty of Computer Science and Information Technology,University Malaysia Sarawak۹۴۳۰۰ Kota Samarahan, Sarawak