Semantic Scholar Open Access 2000 2556 sitasi

SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries

James Ze Wang Jia Li G. Wiederhold

Lihat Sumber DOI

Abstrak

We present here SIMPLIcity (semantics-sensitive integrated matching for picture libraries), an image retrieval system, which uses semantics classification methods, a wavelet-based approach for feature extraction, and integrated region matching based upon image segmentation. An image is represented by a set of regions, roughly corresponding to objects, which are characterized by color, texture, shape, and location. The system classifies images into semantic categories. Potentially, the categorization enhances retrieval by permitting semantically-adaptive searching methods and narrowing down the searching range in a database. A measure for the overall similarity between images is developed using a region-matching scheme that integrates properties of all the regions in the images. The application of SIMPLIcity to several databases has demonstrated that our system performs significantly better and faster than existing ones. The system is fairly robust to image alterations.

Topik & Kata Kunci

Computer Science

Penulis (3)

James Ze Wang

Jia Li

G. Wiederhold

Format Sitasi

APA MLA BibTeX

Wang, J.Z., Li, J., Wiederhold, G. (2000). SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries. https://doi.org/10.1109/34.955109

Akses Cepat

Lihat di Sumber doi.org/10.1109/34.955109

Informasi Jurnal

Tahun Terbit: 2000
Bahasa: en
Total Sitasi: 2556×
Sumber Database: Semantic Scholar
DOI: 10.1109/34.955109
Akses: Open Access ✓