Semantic Image Retrieval:A Review

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

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...

SEIMCHA: a new semantic image CAPTCHA using geometric transformations

As protection of web applications are getting more and more important every day, CAPTCHAs are facing booming attention both by users and designers. Nowadays, it is well accepted that using visual concepts enhance security and usability of CAPTCHAs. There exist few major different ideas for designing image CAPTCHAs. Some methods apply a set of modifications such as rotations to the original imag...

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...

Algorithms For Feature Selection In Content Based Image Retrieval:A Review

CBIR applies to techniques for retrieving similar images from image databases, based on automated feature selection methods. Feature selection is an important topic in data mining, especially for high dimensional datasets. Feature selection (also known as subset selection) is a process commonly used in machine learning, wherein subsets of the features available from the data are selected for ap...