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Dimensionality reduction of visual features for efficient retrieval and classification

Petros T. Boufounos, Hassan Mansour, Shantanu Rane, Anthony Vetro
2016 APSIPA Transactions on Signal and Information Processing  
This paper examines two approaches that employ dimensionality reduction for fast and accurate matching of visual features while also being bandwidth-efficient, scalable, and parallelizable.  ...  Visual retrieval and classification are of growing importance for a number of applications, including surveillance, automotive, as well as web and mobile search.  ...  These descriptors can be used for image matching, registration, and retrieval by combining hypotheses from several image patches, for example, using the popular Bag-of-Features approach [6] .  ... 
doi:10.1017/atsip.2016.14 fatcat:ef7k657n7ndtzoehs3474zdpdu

Utilising Fuzzy Rough Set Based on Mutual Information Decreasing Method for Feature Reduction in an Image Retrieval System [chapter]

Maryam Shahabi Lotfabadi, Mohd Fairuz Shiratuddin, Kok Wai Wong
2014 Lecture Notes in Electrical Engineering  
2012) Utilising fuzzy rough set based on mutual information decreasing method for feature reduction in an image retrieval system.  ...  This paper also compared the proposed method with other traditional retrieval systems that use PCA, kernel PCA, Isomap and MVU for their feature reduction method.  ...  Conclusion In this paper, an image retrieval system is proposed. This system used the fuzzy rough set based on mutual information method for feature decreasing and the SVM as a classifier.  ... 
doi:10.1007/978-3-319-06773-5_24 fatcat:wupxi37fcnhknnpsbgh447r6sy

Audio Fingerprint Retrieval Method Based on Feature Dimension Reduction and Feature Combination

2021 KSII Transactions on Internet and Information Systems  
Secondly, the feature dimension reduction method based on information entropy is used for column dimension reduction, and the feature matrix after dimension reduction is used for row dimension reduction  ...  accuracy and efficiency, a robust audio fingerprint retrieval method based on feature dimension reduction and feature combination is proposed.  ...  This combined feature has a high recall rate and precision rate for various speech content preserving operations (CPO) of long speech segments. 2) The feature dimension reduction method based on information  ... 
doi:10.3837/tiis.2021.02.008 fatcat:plevwqtsgfgkpi5uxcm4ohxjyq

Feature Vector Creation Using Hierarchical Data Structure for Spatial Domain Image Retrieval

Sushila Aghav-Palwe, Dhirendra Mishra
2020 Procedia Computer Science  
Building efficient Image Features with optimal dimension and high discriminative power is important in processing the digital information hidden inside the images.  ...  But with these few set of values there is always harming to reduce the discriminative prove of feature vector. Reduction of discriminative power leads to reduction of retrieval rate.  ...  In text processing Text is considered as feature of that information. Text features are focused for text information processing. Digital Information is also available in Image form.  ... 
doi:10.1016/j.procs.2020.03.298 fatcat:alx4qlqibffvxjql4jepedhf2y

Image Retrieval Based on Deep Feature Extraction and Reduction with Improved CNN and PCA

Rongyu Chen, Lili Pan, Yan Zhou, Qianhui Lei
2020 Journal of Information Hiding and Privacy Protection  
With the rapid development of information technology, the speed and efficiency of image retrieval are increasingly required in many fields, and a compelling image retrieval method is critical for the development  ...  Feature extraction based on deep learning has become dominant in image retrieval due to their discrimination more complete, information more complementary and higher precision.  ...  between features and features, enriches the information of each channel, and makes up for the information loss caused by grouping convolution.  ... 
doi:10.32604/jihpp.2020.010472 fatcat:tdxotspc35hp7b6qcsqsu4i72a

Feature decreasing methods using fuzzy rough set based on mutual information

Maryam Shahabi Lotfabadi, Mohd Fairuz Shiratuddin, Kok Wai Wong
2013 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA)  
Thus feature reduction is an important step. We investigate the use of rough set for feature reduction. In this paper, we compare three different decreasing methods.  ...  Feature reduction methods are of interest in applications such as content based image and video retrieval.  ...  Rough set method is particularly useful for rule induction and feature selection (semantics-preserving dimensionality reduction) [7] .  ... 
doi:10.1109/iciea.2013.6566538 fatcat:akapiy35dfalzaz2izxyikrtqu

MEDICAL IMAGE RETRIEVAL SYSTEM USING 2D-DWT AND CONVOLUTIONAL NEURAL NETWORK

B. Nandhini, K. Ribana, S. Pradeep
2018 Indian Journal of Science and Technology  
Findings: We propose an algorithm of image retrieval that implements the feature extraction with 2D-Discrete Wavelet Transform (DWT), information gain for feature reduction and convolutional neural network  ...  The feature extraction involves the extraction of features from medical image using DWT. The Feature reduction was carried out by information gain.  ...  The traits in the feature database can be reduced using Information gain calculation. In feature reduction process, the redundant information and noisy features removed from the database.  ... 
doi:10.17485/ijst/2018/v11i19/123219 fatcat:lkp33zn7trdchobmcov5ljqi6a

Page 164 of The Journal of Information and Image Management Vol. 4, Issue 3 [page]

1971 The Journal of Information and Image Management  
CHARACTERISTIC FEATURES OF HIGH REDUCTION MICROFORM SYSTEMS Ultrafiche systems, as high reduction micro- form systems, display characteristic features which have to be recognized in order to appreciate  ...  MEN: U LT RAFICHE SYSTEMS AND THEIR CHARACTERISTICS Ss (3) Speed of automatic (mechanized) retrieval of documents from large size files (millions of pages). (4) Distribution cost for information (handling  ... 

Review on Concurrent Image Retrieval

Miss. Pallavee Pol
2019 International Journal for Research in Applied Science and Engineering Technology  
Automated image annotations and contributions by various authors for image retrieval techniques are discussed in this paper.  ...  We address some of key challenges in image retrieval in automated image annotations. Techniques of the real world image data handling for image retrieval is main focus of this paper.  ...  Texture based features User defined layout (ROI) based approach for feature extraction Better accuracy in terms of image retrieval and reduction in processing time. 9 Zhang, D., Islam, M.M., Lu  ... 
doi:10.22214/ijraset.2019.1126 fatcat:tqerzfaj4ng6joaszankdv4s4y

Reduct-Based Result Set Fusion for Relevance Feedback in CBIR

Samar Zutshi, Campbell Wilson, Bala Srinivasan
2007 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)  
This paper presents a method that uses the approximation of the information need distilled from the user classification as the basis for multiple distinct retrievals.  ...  The method is demonstrated in the context of a simple test image collection for clarity. An analysis of the sample iterations of feedback is presented.  ...  In CAFé, reducts are used as the basis for the approximation of the knowledge regarding the user's classification in in terms of the feature information.  ... 
doi:10.1109/icis.2007.154 dblp:conf/ACISicis/ZutshiWS07 fatcat:euonwnszubca7akafmhsqth5jm

Content Based Video Retrieval Using SURF Descriptor

S. Asha, M. Sreeraj
2013 2013 Third International Conference on Advances in Computing and Communications  
To achieve a dimensionality reduction on the SURF feature descriptor, this system employs a stochastic dimensionality reduction method and thus provides a model data for the videos.  ...  The higher dimensionality of SURF like feature descriptors causes huge storage consumption during indexing of video information.  ...  Among the various local feature descriptor, SURF has proven to be stable, reliable and has high efficiency in information retrieval. S. Huang, C. Cai, F.  ... 
doi:10.1109/icacc.2013.49 fatcat:zmmxjig25ne3nhrvc2gqxrca64

Visual Features Selection

Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro
2013 Italian Information Retrieval Workshop  
The state-of-the-art algorithms for large visual content recognition and content based similarity search today use the "Bag of Features" (BoF) or "Bag of Words" (BoW) approach.  ...  The idea, borrowed from text retrieval, enables the use of inverted files.  ...  The retrieval engine used in the experiments is built as following: 1. For each image in the dataset the SIFT local features are extracted for the identified regions around interest points. 2.  ... 
dblp:conf/iir/AmatoFG13 fatcat:pjwdmgiapfepnj7fu6nnkl3onm

Image Retreivel using DWT and new Dimensionality Reduction Methods: A Review

Neenu Gopal, Sasi Kumar V V, Hiranlal T H
2015 International Journal of Engineering Research and  
and dimensionality reduction methods.  ...  Content based face image retrieval (CBFIR) is a hot research topic since the last decade. Face image retrieval techniques can be used in applications such as Crime prevention, Security Check, etc.  ...  In this work, orthogonal moments were employed as features for the retrieval task.  ... 
doi:10.17577/ijertv4is051152 fatcat:deitltdi5rci5i7nlx4g7scvoe

Neighborhood Upper and Lower Approximation for the Content-Based Image Retrieval

Zhao Jie, Xie Gang
2017 International Journal of Multimedia and Ubiquitous Engineering  
In order to solve the problem that the dimension disaster caused by high-dimensional features seriously affects the efficiency of the content-based image retrieval, this paper presents a method for generating  ...  By introducing the upper and lower approximation definition of neighborhood rough set, the proposed algorithm achieves the features selection and similarity measurement for automatic image retrieval.  ...  Acknowledgements This work is supported by the Education Innovation Foundation for Graduate Students of Shanxi Province (2015BY23).  ... 
doi:10.14257/ijmue.2017.12.1.08 fatcat:3svm6cjct5cwbfiaen74mtzoce

Significance of Dimensionality Reduction in Image Processing

Shereena V. B, Julie M. David
2015 Signal & Image Processing An International Journal  
The neural network is trained about the reduced feature set (using PCA or LDA) of images in the database for fast searching of images from the database using back propagation algorithm.  ...  PCA finds the axes with maximum variance for the whole data set where LDA tries to find the axes for best class seperability.  ...  will provide a robust feature set for image retrieval.  ... 
doi:10.5121/sipij.2015.6303 fatcat:calbiutzjngtpopakc6yyrpfci
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