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A NEW APPROACH FOR AUDIO CLASSIFICATION AND SEGMENTATION USING GABOR WAVELETS AND FISHER LINEAR DISCRIMINATOR
2005
International journal of pattern recognition and artificial intelligence
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The proposed method can be used in the applications of texture browsing and texture retrieval. q ...
Experiments of texture browsing, coarse classification of textures and similarity-based image-to-image matching are performed on the texture images of Brodatz album and Corel Gallery image database to ...
Thus, appropriate descriptors for textures could provide powerful means in applications of texture browsing, coarse texture classification and texture retrieval. ...
doi:10.1142/s0218001405004289
fatcat:asmrcdvu45fb5bhwwldejvh5sy
Content-Based Image Retrieval Features: A Survey
2018
International journal of advanced networking and applications
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Content-Based Image Retrieval (CBIR) systems have been used for the searching of relevant images in various research areas. In CBIR systems features such as shape, texture and color are used. ...
Texture features have been used for images of documents, segmentation-based recognition,and satellite images. ...
A difficulty present in it is that most of the images have more than one semantic interpretation. ...
doi:10.35444/ijana.2018.100111
fatcat:m7epi7eyinesrlakzafksospnq
Big Data, Decision Tree Induction, and Image Analysis for the Discovery of Decision Rules for Colon Examination
2017
International Journal of Engineering Research and Science
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It also gives a flexible way to describe the appearance of the medical objects in symbolic terms, the computation time is less, and it can be set up as software module that can be flexible used in different ...
The aim of our research was to develop a method that allows us automatically to discover the decision rules for diagnosing medical images in normal tissue images and images showing a polyp. ...
Semantic labels depending on the application can describe the texture and therefore the meaning of the texture is understandable by a human. ...
doi:10.25125/engineering-journal-ijoer-aug-2017-21
fatcat:puuenqz6ubcnbd5txbzsxbl4he
Cognitive Aspects of Object Recognition – Recognition of Objects by Texture
2015
Procedia Computer Science
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The comparison of the two texture descriptors is based on the error rate, the properties of the two best classification models, the runtime for the feature calculation, the selected features, and the semantic ...
This descriptor gives us more freedom in describing different textures. In this paper, we compare the two texture descriptors based on a medical data set. ...
Material and Application We studied the performance of the two texture descriptors based on a data set of 344 images. ...
doi:10.1016/j.procs.2015.08.260
fatcat:f52af77hbneklmqmu7dmlpg6ru
Hierarchical medical image annotation using SVM-based approaches
2010
Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine
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Automatic image annotation or image classification can be an important step when searching for images from a database. ...
Common approaches to medical image annotation with the Image Retrieval for Medical Applications (IRMA) code make poor or no use of its hierarchical nature, where different dense sampled pixel based information ...
While we aimed to explore the hierarchy in a semantic reduction position-wise method it is clear that this strategy is very susceptible of error since a wrong classification in an early stage of the process ...
doi:10.1109/itab.2010.5687655
fatcat:2dfyigg2yjarznu6nzlhdfbidy
Understanding Heterogeneous EO Datasets: A Framework for Semantic Representations
2018
IEEE Access
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In order to bridge these sensory and semantic gaps, the paper presents a compound framework for EO image information extraction. ...
Earth observation (EO) has become a valuable source of comprehensive, reliable, and persistent information for a wide number of applications. ...
Introduced in [22] , it was the first approach to describe and classify the texture inside an image. ...
doi:10.1109/access.2018.2801032
fatcat:s6dyc6b7q5bjhperof54gxj5q4
From BoW to CNN: Two Decades of Texture Representation for Texture Classification
[article]
2018
arXiv
pre-print
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Texture is a fundamental characteristic of many types of images, and texture representation is one of the essential and challenging problems in computer vision and pattern recognition which has attracted ...
Given this period of remarkable evolution, this paper aims to present a comprehensive survey of advances in texture representation over the last two decades. ...
The investigation of texture attributes and detailed semantic texture description offers a significant opportunity to close the semantic gap in texture modeling and to support applications that require ...
arXiv:1801.10324v2
fatcat:4thizanm2jemvbno7bz5etsrue
On the development of a robust, fast and lightweight keypoint descriptor
2013
Neurocomputing
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Also, we use these new descriptors to detect and recognize objects under different illumination conditions to provide semantic information in a mapping task and we apply our descriptors for registering ...
In addition, they outperfom the state-of-the-art CSHOT, which, as well as our descriptors, combines texture and geometry. ...
ACKNOWLEDGMENT The authors would like to thank CAPES, CNPq and FAPEMIG for the financial support provided. ...
doi:10.1016/j.neucom.2012.08.064
fatcat:bfxe4vlu4rdkrgwkgnonpl2d5i
Content Based Video Retrieval Systems
2012
International Journal of UbiComp
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We also identify present research issues in area of content based video retrieval systems. ...
Selection of extracted features play an important role in content based video retrieval regardless of video attributes being under consideration. ...
In particular, the MPEG-7 color descriptors consist of a number of histogram descriptors, a dominant color descriptor, and a color layout descriptor (CLD). ...
doi:10.5121/iju.2012.3202
fatcat:rrtofvbjfbakhacn565qre5enq
Video Data Visualization System : Semantic Classification and Personalization
2012
International Journal of Computer Graphics & Animation
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We present in this paper an intelligent video data visualization tool, based on semantic classification, for retrieving and exploring a large scale corpus of videos. ...
Our work is based on semantic classification resulting from semantic analysis of video. The obtained classes will be projected in the visualization space. ...
Indeed, system interface plays a crucial role in the development of interactive applications. Its ease of use can sometimes be a significant criterion in the evaluation of the application. ...
doi:10.5121/ijcga.2012.2201
fatcat:67ryfztdd5hhtkebrel3zuvrki
Scale-space texture description on SIFT-like textons
2012
Computer Vision and Image Understanding
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Visual texture is a powerful cue for the semantic description of scene structures that exhibit a high degree of similarity in their image intensity patterns. ...
The proposed statistical approach is applicable to both static and dynamic textures. ...
The new framework is applicable to both static and dynamic textures. ...
doi:10.1016/j.cviu.2012.05.003
fatcat:h3m5ainvjza23knengoog65afa
Image Information Mining Systems
[chapter]
2010
Geoscience and Remote Sensing New Achievements
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The system has the ability of processing a new image in online mode, in such a way that an image which is not still in the archive is processed and clustered in an interactive form. ...
On the other side, a common practise in image processing is the statistical analysis of colour histograms, due to the strong correlation between objects and colour in an image. Texture: Texture is a ...
Image Information Mining Systems, Geoscience and Remote Sensing New Achievements, Pasquale Imperatore and Daniele Riccio (Ed.), ISBN: 978-953-7619-97-8, InTech, Available from: http://www.intechopen.com ...
doi:10.5772/9101
fatcat:qe5hqyfafzbfrhiioiitzpmkt4
Soft Computing Based Retrieval System For Medical Applications
2010
Zenodo
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These approaches pave the way for new and interesting avenues of research in medical imaging and represent an important challenge for researchers. ...
the discovery of data dependencies, importance of features, patterns in sample data, and feature space dimensionality reduction. ...
CBIR may have its roots in the field of classical image analysis; it relies on many standard image analysis techniques, such as convolution, edge detection, pixel intensity histogramming, and power spectrum ...
doi:10.5281/zenodo.1079811
fatcat:z7s6iyxuorgsbbiyxmt4gfywia
Content-Based Image Retrieval and Feature Extraction: A Comprehensive Review
2019
Mathematical Problems in Engineering
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Multimedia content analysis is applied in different real-world computer vision applications, and digital images constitute a major part of multimedia data. ...
In CBIR and image classification-based models, high-level image visuals are represented in the form of feature vectors that consists of numerical values. ...
In this proposed method, a new color feature CIF with the LBP-based feature is used for image retrieval as well as for classification. ...
doi:10.1155/2019/9658350
fatcat:dncplhkm6vcrvfh3q7ifxkrdkq
Incorporating Near-Infrared Information into Semantic Image Segmentation
[article]
2014
arXiv
pre-print
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However, as a result of the material dependent reflection in the NIR part of the spectrum, such images reveal different characteristics of the scene. ...
Based on a state-of-the-art segmentation framework and a novel manually segmented image database (both indoor and outdoor scenes) that contain 4-channel images (RGB+NIR), we study how to best incorporate ...
In such applications, region reflection in both the visible and IR parts of the spectrum is required [51, 48] . ...
arXiv:1406.6147v1
fatcat:omokg7olbbhjdggins7ofpvsaa
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