Enhanced Semantic Image Retrieval using Feature Extraction and KNN Techniques
نویسندگان
چکیده
منابع مشابه
Semiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملA Novel Content Based Image Retrieval System using K-means/KNN with Feature Extraction
Image retrieval has been popular for several years. There are different system designs for content based image retrieval (CBIR) system. This paper propose a novel system architecture for CBIR system which combines techniques include content-based image and color analysis, as well as data mining techniques. To our best knowledge, this is the first time to propose segmentation and grid module, fe...
متن کاملEnhanced Multiquery System Using Knn for Content Based Image Retrieval
Content Based Image Retrieval (CBIR) techniques are becoming an essential requirement in the multimedia systems with the widespread use of internet, declining cost of storage devices and the exponential growth of un-annotated digital image information available in recent years. Therefore multi query systems have been used rather than a single query in order to bridge the semantic gaps and in or...
متن کاملContent-based Image Retrieval: Feature Extraction Techniques and Applications
The emergence of multimedia technology and the rapidly expanding image collections on the Internet have attracted significant research efforts in providing tools for effective retrieval and management of visual data. The need to find a desired image from a large collection is shared by many professional groups, including journalists, design engineers and art historians. Difficulties faced by te...
متن کاملImage Object Retrieval Using Semantic Feature Discovery and Tags
The exponential growth in the field of Web 2.0 applications and services, the tags which are used widely to describe the contents of the image spread over the Web. As there is a noisy and general nature found in human made tags, how to use these tags for retrieving tasks of an image is a trending research field. As the visual features that are low-level can provide valuable information, so they...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2016
ISSN: 0975-8887
DOI: 10.5120/ijca2016908582