Academic Journal
A parallel architecture for feature extraction in content-based image retrieval system,' The 2004
العنوان: | A parallel architecture for feature extraction in content-based image retrieval system,' The 2004 |
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المؤلفون: | Kien-ping Chung, Jia Bin Li, Chun Che F U G, Kok Wai Wong |
المساهمون: | The Pennsylvania State University CiteSeerX Archives |
المصدر: | http://researchrepository.murdoch.edu.au/620/1/Published_Version.pdf. |
سنة النشر: | 2004 |
المجموعة: | CiteSeerX |
الوصف: | Although it is possible to retricve images from database using a unique identification defined by a human operator as an index to images, it is more convenient and natural to search images based on their contents. The principle of Content-Based Imagc Retrieval (CBIR) system is to retrieve images based on the content of the images. One of the important components in CBIR system is to extract the analysis. However, some of thesc features are computationaIly expensive. To solve this issue, a flexible parallel architccture has been proposed to improve the extraction time for the system. This architecture will also provide the software system with the flexibility of adding and removing any visual features from the system. Thus, a system becomes more intelligent and so it is able to adapt changes caused by the replacement of |
نوع الوثيقة: | text |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.670.4071; http://researchrepository.murdoch.edu.au/620/1/Published_Version.pdf |
الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.670.4071 http://researchrepository.murdoch.edu.au/620/1/Published_Version.pdf |
Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
رقم الانضمام: | edsbas.1BA8EEE9 |
قاعدة البيانات: | BASE |
الوصف غير متاح. |