The explosive increase and ubiquitous accessibility of visual data on the Web have led to
the prosperity of research activity in image search or retrieval. With the ignorance of visual …

To detect illegal copies of copyrighted images, recent copy detection methods mostly rely on
the bag-of-visual-words (BOW) model, in which local features are quantized into visual …

Abstract In Bag-of-Words (BoW) based image retrieval, the SIFT visual word has a low
discriminative power, so false positive matches occur prevalently. Apart from the information …

Visual matching is a crucial step in image retrieval based on the bag-of-words (BoW) model.
In the baseline method, two keypoints are considered as a matching pair if their SIFT …

Accurate and efficient keypoint detection and description is a fundamental step in various
computer vision tasks. In this paper, we extract robust descriptors and detect accurate …

Content-based image retrieval (CBIR), which is aimed to search images from a large size
image database based on visual contents of images in an efficient and accurate way as per …

In recent years, the rapid growth of multimedia content makes content-based image retrieval
(CBIR) a challenging research problem. The content-based attributes of the image are …

With the increasing popularity of various deep neural networks in the area of computational
intelligence, the research attention for content-based image detection/retrieval has been …

Over the last several decades, researches on visual object retrieval and recognition have
achieved fast and remarkable success. However, while the category-level tasks prevail in …

Short-term monitoring of lesion changes has been a widely accepted clinical guideline for
melanoma screening. When there is a significant change of a melanocytic lesion at three …