The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The use of multimedia data such as images, audio and video etc in daily life led to a huge amount of images in fairly large image databases. Nowadays, the image becomes a focal source of information because it hides a precious knowledge. In Image Mining, the aim is to discover this knowledge and gives the relevant information or patterns that are presented. This paper is dedicated to a review on image...
In this paper we present a system for mobile augmented reality (AR) based on visual recognition. We split the tasks of recognizing an object and tracking it on the user's screen into a server-side and a client-side task, respectively. The capabilities of this hybrid client-server approach are demonstrated with a prototype application on the Android platform, which is able to augment both stationary...
Content based retrieval and recognition of objects represented in images is a challenging problem making it an active research topic. Shape analysis is one of the main approaches to the problem. In this paper we propose the use of a reduced set of features to describe 2D shapes in images. The design of the proposed technique aims to result in a short and simple to extract shape description. We conducted...
This paper presents 2D shape matching technique using hierarchical tree structure extracted from shock graph that in turn extracted from the skeleton of the shape of interest. Object recognition and shape matching are important issues in the field of image processing. Extraction and application of skeleton of a shape is widely used in these fields. In this paper shape representation, matching and...
Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision tasks, like object detection, scene classification and image retrieval. Studies of human perception on the tasks of scene classification and visual search have shown that human visual system makes extensive use of contextual information...
In multi-camera surveillance systems, it is important to track the same person across multiple cameras. It is also desirable to recognize the individuals who have been previously observed in a single-camera system. The method that represents a object image using a bag of visual words has been commonly used in image retrieval applications. For recognizing people, it can outperform the methods mainly...
Interest points have been used as local features with success in many computer vision applications such as image/video retrieval and object recognition. However, a major issue when using this approach is a large number of interest points detected from each image and created a dense feature space. This influences the processing speed in any runtime application. Selecting the most important features...
On the Web, tagging is the preferred approach to describing multimedia items in order to make them searchable. The information value of tags can be significantly enhanced if they are linked to specific image regions. In this paper, we describe an approach to automatically detect regions of interest (ROIs) that are visually related to a given tag. Our technique is domain independent and works unsupervised,...
Local image descriptors computed in areas around salient points in images are essential for many algorithms in computer vision. Recent work suggests using as many salient points as possible. While sophisticated classifiers have been proposed to cope with the resulting large number of descriptors, processing this large amount of data is computationally costly. In this paper, computational methods are...
It is desirable and yet remains as a challenge for querying multimedia data by finding an object inside a target image. The effectiveness of region-based representation for content-based image retrieval is extensively studied in the literature. One common weakness of the region-based approaches only in terms of regions' low-level visual features is that the homogeneous image regions have little correspondence...
In this article we focus on the presentation of the inner structure of the database for the content-based image retrieval (CBIR) system containing house images. The part devoted to image processing is signalled to the extent necessary for further database (DB) structure explanations to the reader. In this paper standard DB project methods in the Oracle 10 g system have been used to generate a database...
We propose a new effective shape descriptor, chord context, for shape description in content-based image retrieval. For a shape, the chord context describes a frequency distribution of chord lengths with different orientations. The histograms which represent the chord context are compacted and normalized into a feature matrix. Unlike other shape representation schemes, the proposed scheme is able...
Although it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel attempt at model-free image annotation, which is a data-driven approach that annotates images by mining their search results. Some 2.4 million images with their surrounding text are collected from a few photo forums to support...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.