CONTENT-BASED IMAGE RETRIEVAL TRAINED BY ADABOOST FOR MOBILE APPLICATION

2006 ◽  
Vol 20 (04) ◽  
pp. 525-541 ◽  
Author(s):  
HWEI-JEN LIN ◽  
YANG-TA KAO ◽  
FU-WEN YANG ◽  
PATRICK S. P. WANG
Keyword(s):  
Image Retrieval ◽  
Mobile Devices ◽  
Mobile Application ◽  
Feature Space ◽  
Content Based Image Retrieval ◽  
Large Set ◽  
Training Process ◽  
Edge Information ◽  
Adaboost Algorithm ◽  
Wide Range

This paper proposes a Content-Based Image Retrieval (CBIR) system applicable in mobile devices. Due to the fact that different queries to a content-based image retrieval (CBIR) system emphasize different subsets of a large collection of features, most CBIR systems using only a few features are therefore only suitable for retrieving certain types of images. In this research we combine a wide range of features, including edge information, texture energy, and the HSV color distributions, forming a feature space of up to 1053 dimensions, in which the system can search for features most desired by the user. Through a training process using the AdaBoost algorithm9 our system can efficiently search for important features in a large set of features, as indicated by the user, and effectively retrieve the images according to these features. The characteristics of the system meet the requirements of mobile devices for performing image retrieval. The experimental results show that the performance of the proposed system is sufficiently applicable for mobile devices to retrieve images from a huge database.

scholarly journals Feature space optimization for content-based image retrieval

2012 ◽  
Vol 12 (3) ◽  
pp. 7-19 ◽  
Author(s):  
Letricia P. S. Avalhais ◽  
Sergio F. da Silva ◽  
Jose F. Rodrigues ◽  
Agma J. M. Traina ◽  
Caetano Traina
Keyword(s):  
Image Retrieval ◽  
Feature Space ◽  
Content Based Image Retrieval

A FAST TWO-STAGE CONTENT-BASED IMAGE RETRIEVAL APPROACH IN THE DCT DOMAIN

2008 ◽  
Vol 22 (04) ◽  
pp. 765-781 ◽  
Author(s):  
TIENWEI TSAI ◽  
YO-PING HUANG ◽  
TE-WEI CHIANG
Keyword(s):  
Image Retrieval ◽  
High Efficiency ◽  
Feature Space ◽  
Content Based Image Retrieval ◽  
Two Stage ◽  
Feature Extraction Method ◽  
Domain Specific ◽  
Retrieval Scheme ◽  
Domain Specific Knowledge ◽  
Distinct Features

In this paper, a two-stage content-based image retrieval (CBIR) approach is proposed to improve the retrieval performance. To develop a general retrieval scheme which is less dependent on domain-specific knowledge, the discrete cosine transform (DCT) is employed as a feature extraction method. In establishing the database, the DC coefficients of Y, U and V components are quantized such that the feature space is partitioned into a finite number of grids, each of which is mapped to a grid code (GC). When querying an image, at coarse classification stage, the grid-based classification (GBC) and the distance threshold pruning (DTP) serve as a filter to remove those candidates with widely distinct features. At the fine classification stage, only the remaining candidates need to be computed for the detailed similarity comparison. The experimental results show that both high efficacy and high efficiency can be achieved simultaneously using the proposed two-stage approach.

A Content Based Image Retrieval Model Using Feature Space Dividing

2014 ◽  
Vol 596 ◽  
pp. 388-393
Author(s):  
Guan Huang
Keyword(s):  
Image Retrieval ◽  
Fractional Order ◽  
Feature Space ◽  
Image Feature ◽  
Content Based Image Retrieval ◽  
Time Cost ◽  
Retrieval Model ◽  
Matching Accuracy ◽  
Query Image ◽  
Proposed Model

This paper introduces a model for content based image retrieval. The proposed model extracts image color, texture and shape as feature vectors; and then the image feature space is divided into a group of search zones; during the image searching phase, the fractional order distance is utilized to evaluate the similarity between images. As the query image vector only needs to compare with library image vectors located in the same search zone, the time cost is largely reduced. Further more the fractional order distance is utilized to improve the vector matching accuracy. The experimental results demonstrated that the proposed model provides more accurate retrieval results with less time cost compared with other methods.

scholarly journals Use of augmented reality environment for practical aviation staff training

2018 ◽  
Vol 19 (6) ◽  
pp. 698-703
Author(s):  
Andrzej Rypulak ◽  
Sebastian Kuźmicz
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Staff Training ◽  
Mobile Application ◽  
Mobile Augmented Reality ◽  
Training Process ◽  
Programming Tools ◽  
Augmented Reality Technology ◽  
Mobile Imaging ◽  
Selection Of

The article describes the course of works aimed at creating a mobile application using Mobile Augmented Reality technology supporting the training process of personnel servicing aircraft in the field of pre-flight aircraft inspections. The requirements for the application, selection of programming tools and mobile imaging devices are presented. At the end of the article the results of tests of applications on various mobile devices and their conclusions are presented.

scholarly journals Content-Based Image Retrieval Based on Late Fusion of Binary and Local Descriptors

2017 ◽  
Author(s):  
Nouman Ali ◽  
Danish Ali Mazhar ◽  
Zeshan Iqbal ◽  
Rehan Ashraf ◽  
Jawad Ahmed ◽  
...  
Keyword(s):  
Image Retrieval ◽  
Feature Space ◽  
Feature Representation ◽  
Content Based Image Retrieval ◽  
Late Fusion ◽  
Computationally Efficient ◽  
Scale Invariant ◽  
Local Descriptor ◽  
Visual Words ◽  
Binary Descriptors

One of the challenges in Content-Based Image Retrieval (CBIR) is to reduce the semantic gaps between low-level features and high-level semantic concepts. In CBIR, the images are represented in the feature space and the performance of CBIR depends on the type of selected feature representation. Late fusion also known as visual words integration is applied to enhance the performance of image retrieval. The recent advances in image retrieval diverted the focus of research towards the use of binary descriptors as they are reported computationally efficient. In this paper, we aim to investigate the late fusion of Fast Retina Keypoint (FREAK) and Scale Invariant Feature Transform (SIFT). The late fusion of binary and local descriptor is selected because among binary descriptors, FREAK has shown good results in classification-based problems while SIFT is robust to translation, scaling, rotation and small distortions. The late fusion of FREAK and SIFT integrates the performance of both feature descriptors for an effective image retrieval. Experimental results and comparisons show that the proposed late fusion enhances the performances of image retrieval.

scholarly journals Android Function Generator

2021 ◽  
Vol 9 (12) ◽  
pp. 2170-2173
Author(s):  
Aayush Patel
Keyword(s):  
Operating System ◽  
Mobile Devices ◽  
Mobile Application ◽  
Sine Wave ◽  
Tablet Computers ◽  
Function Generator ◽  
Mobile Phone Application ◽  
Remote Areas ◽  
Wide Range ◽  
Electrical Pulses

Abstract: The paper focuses on an application that can be developed on android, Android is a multipurpose operating system based on Linux for mobile devices such as smartphones and tablet computers, it contains several versions such as donot, ice-cream sandwich, KitKat, pie, etc. Function generator is a device used to generate a wide range of standardized electrical pulses such as sine wave, square wave and sawtooth wave whose frequency ranges from 0.1Hz to 11,000 Hz .In this paper we aim to review how this function generator can be developed using an android mobile application. The mobile phone application uses android in order to implement a function generator which generates different A.C sources available in the laboratory. This can be used extensively in remote areas where it is not easy to carry the function generator. Keyword: Function Generator, Android, CRO, Signals

scholarly journals A Review on LBP in Image Retrieval System for Future Enhancement and Vector Images

2020 ◽  
pp. 155-161
Author(s):  
K Rajalakshmi ◽  
V Krishna Dharshini ◽  
S Selva Meena
Keyword(s):  
Image Retrieval ◽  
Image Database ◽  
Content Based Image Retrieval ◽  
Large Set ◽  
Query Image ◽  
Matching Algorithm ◽  
Image Retrieval System ◽  
Similar Images ◽  
Vector Images ◽  
Similar Kind

Content-Based Image Retrieval is a process to retrieve the similar images from the large set of image database corresponding to the query image. In CBIR low level or pixel level features such as color, texture and shape of the images are extracted and on the basis of similarity matching algorithm the required similar kind of images are retrieved from the image database. To understand the evaluation and evolution of CBIR system various research was studied and various research is going on this way also. In this paper, we have discussed some of the popular pixel level feature extraction techniques for Content-Based Image Retrieval and we also present here about the performance of each technique.

Content-based image retrieval on mobile devices

2005 ◽  
Author(s):  
Iftikhar Ahmad ◽  
Shafaq Abdullah ◽  
Serkan Kiranyaz ◽  
Moncef Gabbouj
Keyword(s):  
Image Retrieval ◽  
Mobile Devices ◽  
Content Based Image Retrieval

Aplikasi M-Commerce Berbasis Android Pada Toko “Fani Bags”

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Azran Budi Arief
Keyword(s):  
Mobile Devices ◽  
Mobile Application ◽  
Mobile Commerce ◽  
Area Coverage ◽  
Smart Phones ◽  
Trading System ◽  
Java Programming ◽  
Wide Range ◽  
To Come

Bags Fani store is one bag shop. Fani Bags store sells a wide range of bags such as backpacks, travel bags, briefcases etc. However, the mechanism of buying and selling or marketing is done manually, the buyer must come to the store to buy goods from Fani Bags. Then it becomes inefficient. M-commerce (mobile commerce) is a trading system that is performed by the method of trading is done with portable media or mobile devices such as smartphones, PDAs etc. This application is based Mobile Application (Android) using java programming and MySQL as the database and PHP as webserver. M-commerce to be a solution to solve the problems on the Fani Bags store due to m-commerce and smart phones as a media liaison, customers can easily access or purchase products Fani Bags store without having to come to the store. It can be concluded using mobile commerce applications of this transaction will be carried out more easily, efficiently, and of course the wider area coverage

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