A Survey on Content Based Image Retrieval Techniques

نویسندگان

  • Bhupendra Ramani
  • Arjun Parihar
چکیده

From the past decades, content based image retrieval has been a hot trend in research and development. The key reason behind this is increasing need of multimedia data on internet. As the content based image retrieval techniques outperforms because of its usability over syntactical features and their content based comparisons. But that is more promising to work in direction of finding more accurate images from their description or their tags. Therefore this paper discusses different techniques and methods that are recently developed for improving the performance of image search. In addition of that a new model is suggested so far to optimize the performance of the existing techniques. Keywords— CBIR, survey, tag based, feature computation, system modelling

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

بازیابی تعاملی تصاویر طبیعت با بهره گیری از یادگیری چند نمونه ای

Content-based image retrieval (CBIR) has received considerable research interest in the recent years. The basic problem in CBIR is the semantic gap between the high-level image semantics and the low-level image features. Region-based image retrieval and learning from user interaction through relevance feedback are two main approaches to solving this problem. Recently, the research in integra...

متن کامل

Image retrieval using the combination of text-based and content-based algorithms

Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...

متن کامل

Content Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram

Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a  database. In medical applications, CBIR is a tool used by physicians to compare the previous and current  medical images associated with patients pathological conditions. As the volume of pictorial information  stored in medical image databases is in progress, efficient image indexing and retri...

متن کامل

تأملاتی بر نمایه‌ سازی تصاویر: یک تصویر ارزشی برابر با هزار واژه

Purpose: This paper presents various  image indexing techniques and discusses their advantages and limitations.             Methodology: conducting a review of the literature review, it identifies three main image indexing techniques, namely concept-based image indexing, content-based image indexing and folksonomy. It then describes each technique. Findings: Concept-based image indexing is te...

متن کامل

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 کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015