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Context-Aware and Locality-Constrained Coding for Image Categorization
المؤلفون المشاركون
Wang, Bin
Liu, Yu
Zhang, Maojun
Xiao, Wenhua
Bao, Weidong
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-03-18
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Improving the coding strategy for BOF (Bag-of-Features) based feature design has drawn increasing attention in recent image categorization works.
However, the ambiguity in coding procedure still impedes its further development.
In this paper, we introduce a context-aware and locality-constrained Coding (CALC) approach with context information for describing objects in a discriminative way.
It is generally achieved by learning a word-to-word cooccurrence prior to imposing context information over locality-constrained coding.
Firstly, the local context of each category is evaluated by learning a word-to-word cooccurrence matrix representing the spatial distribution of local features in neighbor region.
Then, the learned cooccurrence matrix is used for measuring the context distance between local features and code words.
Finally, a coding strategy simultaneously considers locality in feature space and context space, while introducing the weight of feature is proposed.
This novel coding strategy not only semantically preserves the information in coding, but also has the ability to alleviate the noise distortion of each class.
Extensive experiments on several available datasets (Scene-15, Caltech101, and Caltech256) are conducted to validate the superiority of our algorithm by comparing it with baselines and recent published methods.
Experimental results show that our method significantly improves the performance of baselines and achieves comparable and even better performance with the state of the arts.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xiao, Wenhua& Wang, Bin& Liu, Yu& Bao, Weidong& Zhang, Maojun. 2014. Context-Aware and Locality-Constrained Coding for Image Categorization. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1050436
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xiao, Wenhua…[et al.]. Context-Aware and Locality-Constrained Coding for Image Categorization. The Scientific World Journal No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1050436
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xiao, Wenhua& Wang, Bin& Liu, Yu& Bao, Weidong& Zhang, Maojun. Context-Aware and Locality-Constrained Coding for Image Categorization. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1050436
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1050436
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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