Academic Journal

Image Classification and Annotation Based on Hadoop Cloud Computing Platform

التفاصيل البيبلوغرافية
العنوان: Image Classification and Annotation Based on Hadoop Cloud Computing Platform
المؤلفون: Jiyuan Lu, Chenghui Huang, Fang Hou, Bin Li
المصدر: Dianxin kexue, Vol 30, Pp 65-69 (2014)
بيانات النشر: Beijing Xintong Media Co., Ltd, 2014.
سنة النشر: 2014
المجموعة: LCC:Telecommunication
LCC:Technology
مصطلحات موضوعية: cloud computing, training set extraction, support vector machine, visual feature extraction, Telecommunication, TK5101-6720, Technology
الوصف: In order to effectively deal with the massive image and video data in internet,a solution for image classification and annotation based on Hadoop cloud platform was proposed.Firstly,a system based on cloud computing was given to crawl the raw data image from WWW.Secondly,a training image extractor based on pLSA (probabilistic latent semantic analysis)was presented to help users to get training set images effectively.Thirdly,the SVM model for the system was integrated,which could be used to classify or annotate novel images.According to the experiment,the system can both meet the functional requirement and achieve optimized performance for image data classification and annotation.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: Chinese
تدمد: 1000-0801
Relation: https://doaj.org/toc/1000-0801
DOI: 10.3969/j.issn.1000-0801.2014.02.008
URL الوصول: https://doaj.org/article/47b5d7033ad241bd9fd43072aee0d98e
رقم الانضمام: edsdoj.47b5d7033ad241bd9fd43072aee0d98e
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10000801
DOI:10.3969/j.issn.1000-0801.2014.02.008