An effective mechanism to neutralize the semantic gap in content based image retrieval (CBIR)
المؤلفون المشاركون
Singh, Sanjay
Sontakke, Trimbak Ramchandra
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 11، العدد 2 (31 مارس/آذار 2014)10ص.
الناشر
تاريخ النشر
2014-03-31
دولة النشر
الأردن
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
Nowadays, Content Based Image Retrieval (CBIR) plays a significant role in the image processing field.
Images relevant to a given query image are retrieved by the CBIR system utilizing either low level features (such as shape, color etc.,) or high level features (human perception).
Normally, a semantic gap exists between the low level features and the high level features, because the images which are identical in visual content may not be identical in the semantic sense.
In this paper, an effective approach is proposed to trim down this semantic gap that exists between the low level features and the high level features.
Initially, when a query image is given, images relevant to it are retrieved from the image database based on its low level features.
We have performed retrieval utilizing one of the evolutionary algorithms called Evolutionary Programming (EP).
Subsequent to this process, query keyword which is a high level feature is extracted from these retrieved images and then based on this query keyword, relevant images are retrieved from the database.
Subsequently, the images retrieved based on low level features and high level features are compared and the images which are both visually and semantically identical are identified.
Better results obtained by the proposed approach when it is queried using different types of images prove its effectiveness in minimizing the semantic gap
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Singh, Sanjay& Sontakke, Trimbak Ramchandra. 2014. An effective mechanism to neutralize the semantic gap in content based image retrieval (CBIR). The International Arab Journal of Information Technology،Vol. 11, no. 2.
https://search.emarefa.net/detail/BIM-334201
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Singh, Sanjay& Sontakke, Trimbak Ramchandra. An effective mechanism to neutralize the semantic gap in content based image retrieval (CBIR). The International Arab Journal of Information Technology Vol. 11, no. 2 (Mar. 2014).
https://search.emarefa.net/detail/BIM-334201
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Singh, Sanjay& Sontakke, Trimbak Ramchandra. An effective mechanism to neutralize the semantic gap in content based image retrieval (CBIR). The International Arab Journal of Information Technology. 2014. Vol. 11, no. 2.
https://search.emarefa.net/detail/BIM-334201
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-334201
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر