Academic Journal

A parallel architecture for feature extraction in content-based image retrieval system,' The 2004

التفاصيل البيبلوغرافية
العنوان: A parallel architecture for feature extraction in content-based image retrieval system,' The 2004
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