scholarly journals Multi-Scale Bag-of-Features for Scalable Map Retrieval

2012 ◽  
Vol 16 (7) ◽  
pp. 793-799 ◽  
Author(s):  
Kanji Tanaka ◽  
◽  
Kensuke Kondo
Keyword(s):  
Mobile Robot ◽  
Retrieval System ◽  
The Novel ◽  
Large Collection ◽  
Inverted File ◽  
Multi Scale ◽  
Bag Of Features ◽  
Retrieval Problem ◽  
Environment Maps ◽  
Compact Map

Retrieving a large collection of environment maps built by mapper robots is a key problem in mobile robot self-localization. The map retrieval problem is studied from the novel perspective of the multi-scale Bag-Of-Features (BOF) approach in this paper. In general, the multi-scale approach is advantageous in capturing both the global structure and the local details of a given map. BOF map retrieval is advantageous in its compact map representation as well as the efficient map retrieval using an inverted file system. The main contribution of this paper is combining the advantages of both approaches. Our approach is based on multi cue BOF as well as packing BOF, and achieves the efficiency and compactness of the map retrieval system. Experiments evaluate the effectiveness of the techniques presented using a large collection of environment maps.

Evaluation of Light Inspired Optimization Algorithm-Based Image Retrieval

2014 ◽  
Vol 573 ◽  
pp. 529-536
Author(s):  
T. Kanimozhi ◽  
K. Latha
Keyword(s):  
Image Retrieval ◽  
Firefly Algorithm ◽  
Retrieval System ◽  
Computation Time ◽  
Image Databases ◽  
Image Search ◽  
Retrieval Process ◽  
Large Collection ◽  
Image Retrieval System ◽  
Unique Method

Image retrieval system becoming a more popular in all the disciplines of image search. In real-time, interactive image retrieval system has become more accurate, fast and scalable to large collection of image databases. This paper presents a unique method for an image retrieval system based on firefly algorithm, which improve the accuracy and computation time of the image retrieval system. The firefly algorithm is utilized to optimize the image retrieval process via search for nearly optimal combinations between the corresponding features as well as finding out approximate optimized weights for similarities with respect to the features. The proposed method is able to dynamically reflect the user’s intention in the retrieval process by optimizing the objective function. The Efficiency of the proposed method is compared with other existing image retrieval methods through precision and recall. The performance of the method is experimented on the Corel and Caltech database images.

QUIS? A Retrieval System for Library Documents and the Tufts and Department of Scientific and Industrial Research (D.S.I.R.) Human Sciences Bibliographies

1965 ◽  
Vol 7 (5) ◽  
pp. 431-449 ◽  
Author(s):  
B. Shackel
Keyword(s):  
Retrieval System ◽  
Information Storage And Retrieval ◽  
Research Unit ◽  
Information Storage ◽  
Comprehensive Description ◽  
Storage And Retrieval ◽  
Similar Information ◽  
Retrieval Problem ◽  
Personal Library ◽  
Operating Instructions

A comprehensive description is given of a retrieval system which can be applied to the personal library of an individual scientist, to the general library of a laboratory or research unit, and to bibliographies of abstracts. The methods used are described in terms of their application to the field of Human Factors, but they are relevant to similar information storage and retrieval problem in any field. Primary features of the system are the serial assignment of accession numbers, an author card file, an accession card file, search using ‘feature’ cards (‘peek-a-boo’), a specially designed desk for storing, punching, and searching the feature cards, and the adoption of the Tufts Topical Outline as the index language. Full operating instructions are given in an appendix.

Multimedia Image Retrieval System by Combining CNN With Handcraft Features in Three Different Similarity Measures

2020 ◽  
Vol 10 (1) ◽  
pp. 1-23
Author(s):  
Maher Alrahhal ◽  
Supreethi K.P.
Keyword(s):  
Image Retrieval ◽  
Medical Image ◽  
Retrieval System ◽  
Similarity Measures ◽  
Visual Features ◽  
Classification Problems ◽  
Bag Of Features ◽  
Image Retrieval System ◽  
Multimedia Image ◽  
Medical Dataset

The authors propose WNAHVF, a combined weighted and normalized AlexNet with handcrafted visual features for extracting features from images and using those vectors for image retrieval and classification. The authors test the WNAHVF method on two general datasets, Corel-1k and Corel-10k, and one medical dataset. The outcomes demonstrate combining Bag of Features and Local Neighbor patterns with AlexNet enhances the accuracy and gives better results in general and medical image datasets in retrieval and classification problems. This algorithm gives results that are superior to existing strategies.

Vector Quantization by Minimizing Kullback-Leibler Divergence between the Class Label Distributions over Quantization Input and Output

2014 ◽  
Vol 1006-1007 ◽  
pp. 764-767
Author(s):  
Hao Xiang Wang ◽  
Shan Yue ◽  
Yang Li
Keyword(s):  
Objective Function ◽  
Iterative Algorithm ◽  
Vector Quantization ◽  
The Novel ◽  
Classification Problems ◽  
Class Label ◽  
Bag Of Features ◽  
Input And Output ◽  
Leibler Divergence ◽  
Novel Method

This paper proposes a new method for vector quantization by minimizing the Divergence of Kullback-Leibler between the class label distributions over the quantization inputs, which are original vectors, and the output, which is the quantization subsets of the vector set. In this way, the vector quantization output can keep as much information of the class label as possible. An objective function is constructed and we developed an iterative algorithm to minimize it as well. The novel method is evaluated on bag-of-features based image classification problems.

Adaptive edge detection method for images

2008 ◽  
Vol 16 (1) ◽  
Author(s):  
A. Walczak ◽  
L. Puzio
Keyword(s):  
Edge Detection ◽  
Extraction Method ◽  
Detection Method ◽  
Polar Coordinate System ◽  
The Novel ◽  
Edge Extraction ◽  
Anisotropic Property ◽  
Multi Scale ◽  
Polar Coordinate ◽  
Edge Detection Method

AbstractThe novel two-dimensional (2D) wavelet with anisotropic property and application of it has been presented. Wavelet is constructed in the polar coordinate system to obtain anisotropic properties. A novel edge detection method has been developed with the aid of this wavelet. This method detects gradient jump and than follows along this jump. In this way the number of calculation for edge localization is reduced. Moreover, the presented method is able to detect all edges in an image in multi-scale together with its spatial orientation. Proposed wavelet as well as edge extraction method seems to be new way to edge detection for an image.

scholarly journals The Soul of a New Cliché: Conventions and Meta-Conventions in the Creative Linguistic Variation of Familiar Forms

10.29007/lx8f ◽  
2018 ◽  
Author(s):  
Tony Veale
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Computational Analysis ◽  
Linguistic Variation ◽  
The Novel ◽  
Large Collection ◽  
Linguistic Patterns ◽  
The World ◽  
Novel Variation ◽  
The Web

Creativity – whether in humans or machines – is more than a matter of simple creation. To be “creative” implies an ability to do more than invent, but an ability to recognize and appreciate the inventions of others. After all, the ability to recognize surprising value in the efforts of others is the same ability we use to guide our own creative efforts. Solipsistic creativity is rare indeed, and most creativity relies on an audience that is creative enough to value our efforts. Of what value is an ability to e.g. speak ironically if we cannot also understand or appreciate the irony of others? The goal of imbuing computers with creative abilities must thus include a sub-goal of enabling computers to recognize and respond appropriately to the creativity of others. As computers are increasingly used to analyze the burgeoning texts of the world-wide-web, the ability to automatically detect and analyze the linguistic creativity of speakers has become more important than ever. In this paper we consider how speakers engage creatively with cliché, to achieve creative ends through the novel variation of familiar linguistic forms. Our computational analysis of a large collection of linguistic patterns on the Web shows that speakers are surprisingly conservative in their variation strategies, and novelty alone rarely leads to creativity. This conformity can make it easier for computers to detect when speakers are using familiar language in truly original ways.

Mobile Robot Localization Based on the Novel Leader-Based Bat Algorithm

2019 ◽  
Vol 30 (3) ◽  
pp. 337-346 ◽  
Author(s):  
Wolmar A. Neto ◽  
Milena F. Pinto ◽  
André L. M. Marcato ◽  
Ivo C. da Silva ◽  
Daniel de A. Fernandes
Keyword(s):  
Mobile Robot ◽  
Bat Algorithm ◽  
Robot Localization ◽  
The Novel ◽  
Mobile Robot Localization

Content Based Images Retrieval Based on HSV Color Space and GLCM

2014 ◽  
Vol 644-650 ◽  
pp. 4287-4290
Author(s):  
Ching Hun Su ◽  
Huang Sen Chiu ◽  
Tsai Ming Hsieh
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Color Space ◽  
Texture Feature ◽  
Hsv Color Space ◽  
Retrieval Scheme ◽  
Image Retrieval System ◽  
Retrieval Problem ◽  
Occurrence Matrix ◽  
Better Than

We propose a practical image retrieval scheme to retrieve images efficiently. We succeed in transferring the image retrieval problem to sequences comparison and subsequently using the color sequences comparison along with the texture feature of Gray Level Co-occurrence matrix to compare the images of database. Thus the computational complexity is decreased obviously. Our results illustrate it has virtues of both the content based image retrieval system and a text based image retrieval system. Experimental results reveal that proposed scheme is better than the conventional methodologies.

Sign in / Sign up

Export Citation Format

Share Document