Content-based image retrieval : survey
العناوين الأخرى
استرجاع الصورة بالاعتماد على المحتوى : دراسة بحثية
المؤلف
المصدر
Journal of Engineering and Sustainable Development
العدد
المجلد 23، العدد 3 (31 مايو/أيار 2019)، ص ص. 42-63، 22ص.
الناشر
الجامعة المستنصرية كلية الهندسة
تاريخ النشر
2019-05-31
دولة النشر
العراق
عدد الصفحات
22
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
Extensive use of digital photographic devices has resulted in large volumes of digital images being acquired and stored in databases.
Whether it is for scientific research, medical or social networking, there is a growing demand for effective retrieval of digital images based on their visual content (e.
g.
colour and texture).
Content-Based Image Retrieval systems are developed to meet this demand.
However, searching for similar and relevant images from large-scale databases still poses a challenge for Content-Based Image Retrieval systems due to the gap between high-level meaning and low-level visual features.
This paper reviews different Content-Based Image Retrieval approaches such as Clustering, Region-of-Interest, Bag-of-Visual-Words, Relevance Feedback, Browsing, and indexing that have been developed to reduce such “Semantic gap” issue.
So, the interested researchers can interest to determine which method is benefit to his work.
Extensive use of digital photographic devices has resulted in large volumes of digital images being acquired and stored in databases.
Whether it is for scientific research, medical or social networking, there is a growing demand for effective retrieval of digital images based on their visual content (e.
g.
colour and texture).
Content-Based Image Retrieval systems are developed to meet this demand.
However, searching for similar and relevant images from large-scale databases still poses a challenge for Content-Based Image Retrieval systems due to the gap between high-level meaning and low-level visual features.
This paper reviews different Content-Based Image Retrieval approaches such as Clustering, Region-of-Interest, Bag-of-Visual-Words, Relevance Feedback, Browsing, and indexing that have been developed to reduce such “Semantic gap” issue.
So, the interested researchers can interest to determine which method is benefit to his work.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Jabburi, Hanan Ahmad. 2019. Content-based image retrieval : survey. Journal of Engineering and Sustainable Development،Vol. 23, no. 3, pp.42-63.
https://search.emarefa.net/detail/BIM-1113307
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Jabburi, Hanan Ahmad. Content-based image retrieval : survey. Journal of Engineering and Sustainable Development Vol. 23, no. 3 (May. 2019), pp.42-63.
https://search.emarefa.net/detail/BIM-1113307
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Jabburi, Hanan Ahmad. Content-based image retrieval : survey. Journal of Engineering and Sustainable Development. 2019. Vol. 23, no. 3, pp.42-63.
https://search.emarefa.net/detail/BIM-1113307
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
-
رقم السجل
BIM-1113307
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