What is content-based image retrieval system?

Content-based image retrieval, also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey for a scientific …

Why is image retrieval important?

Image retrieval (IR) has become an important research area in computer vision where digital image collections are rapidly being created and made available to multitudes of users through the World Wide Web. Content-based image retrieval research has produced a number of search engines.

What are the two basic approaches to image retrieval?

Different methods for image retrieval have been developed for this purpose [1]. They are distributed into two contexts: text-based image retrieval (TBIR) and CBIR.

What features of images are used to realize retrieval of images from data bases?

The visual characteristics of images such as color, texture, and shape are widely used for image indexing and retrieval. In recent years, various content-based image retrieval methods have sprung up. Color is the most used feature in image retrieval, and its definition is related to the color space used by the image.

What are the challenges of CBIR and CBVR?

Most important general challenges in CBIR are as follows:

• Precision.
• Recall.
• Noise.
• Rotation.
• Computational Complexity.
• Multi scale.

What is content based information retrieval?

A content-based retrieval system processes the information contained in image data and creates an abstraction of its content in terms of visual attributes. Thus, every image inserted into the database is analyzed, and a compact representation of its content is stored in a feature vector, or signature.

What is sketch based image retrieval?

Sketch-based image retrieval (SBIR) is the task of retriev- ing images from a natural image database that correspond to a given hand-drawn sketch. As a result, existing methods simply learn to associate sketches with classes seen during training and hence fail to gen- eralize to unseen classes.

What is visual retrieval?

What is Visual Information Retrieval? Visual information retrieval (VIR) is an interdisciplinary field of research whose techniques aim to solve the problem of finding relevant (documents containing) images and videos based on a query.

What is content based video retrieval?

Content based video retrieval is an approach for facilitating the searching and browsing of large image collections over World Wide Web. In this approach, video analysis is conducted on low level visual properties extracted from video frame.

What is similarity based retrieval?

Similarity-based image retrieval, which has become an important area of computer vision, is a part of the case-based reasoning scenario. In similarity-based retrieval, a query image is provided and similar images from a database are retrieved, usually in order of similarity.

What are content based queries?

A content-based retrieval system processes the information contained in image data and creates an abstraction of its content in terms of visual attributes. Any query operations deal solely with this abstraction rather than with the image itself.

What is content based multimedia retrieval system?

Content-based multimedia information retrieval (IR) provides new models and methods for effectively and efficiently “searching” through the huge variety of media that are available in different kinds of repositories (digital libraries, Web portals, social networks, multimedia databases, etc.).