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Applying Spatial Database Techniques to Other Domains

Kyriakos Mouratidis
2018 Proceedings of the Fifth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data - GeoRich'18  
As a case study, we will review spatial database work on top-k-related operators (i.e., non-spatial problems) and how it integrates fundamental computational geometric operators with spatial indexing/pruning  ...  In this seminar, we will explore how processing rich spatial data is not the only practical (and research-wise promising) application domain for traditional spatial database techniques.  ...  Computational geometry aside, we will also list other domains that could serve as inspiration for spatial database research.  ... 
doi:10.1145/3210272.3226094 dblp:conf/sigmod/Mouratidis18 fatcat:uxv3srrh5fhvpjeokzw5glg2sy

Visualizing knowledge domains

Katy Börner, Chaomei Chen, Kevin W. Boyack
2005 Annual Review of Information Science and Technology  
ACKNOWLEDGEMENTS The composition of a review article in today's flood of information can only be done in the middle of a tightly knit network of domain experts and colleagues supporting and connecting  ...  The genomics and bioinformatics world has been the home to many algorithmic innovations in recent years, many of which could be applied to data analysis, clustering, and visualization.  ...  Both techniques have not been applied to the visualization of knowledge domains yet.  ... 
doi:10.1002/aris.1440370106 fatcat:5pmltifvinc6jexool6aouthcq

Public domain optical character recognition

Michael D. Garris, James L. Blue, Gerald T. Candela, Darrin L. Dimmick, Jon C. Geist, Patrick J. Grother, Stanley A. Janet, Charles L. Wilson, Luc M. Vincent, Henry S. Baird
1995 Document Recognition II  
The system recognizes the handprint entered on Handwriting Sample Forms like the ones distributed with NIST Special Database I.  ...  A public domain document processing system has been developed by the National Institute of Standards and Technology (NIST).  ...  In addition to scaling, the technique also applies a simple morphological operator in an attempt to normalize the stroke width within the character image.  ... 
doi:10.1117/12.205810 dblp:conf/drr/GarrisBCDGGJW95 fatcat:o45arpomqbcsjaxd444fhzpf7i

Sampling strategies for mining in data-scarce domains

N. Ramakrishnan, C. Bailey-Kellogg
2002 Computing in science & engineering (Print)  
For address changes please send both old and new addresses, and, if possible, include an address label from the mailing wrapper of a recent issue.  ...  Acknowledgments This work is supported in part by US National Science Foundation grants EIA-9984317 and EIA-0103660. We thank John R. Rice, Feng Zhao, and Layne T. Watson for their helpful comments.  ...  As test cases, we used the set of matrices Chaitin-Chatelin and Frayssé studied. 17 On average, our λ ρ φ ρ k i k k e + ∆ 1 focused sampling approach required one round of data collection at a tolerance  ... 
doi:10.1109/mcise.2002.1014978 fatcat:2oew4jifnraale7na3ymrcjo44

Transparent hashing in the encrypted domain for privacy preserving image retrieval

Kannan Karthik, Sachin Kashyap
2013 Signal, Image and Video Processing  
To facilitate this, the encryption process must remain transparent to specific image statistics computed in the spatial or transform domain.  ...  Search through a database of encrypted images against a crumpled and encrypted query will remain privacy preserving only if comparisons between selective features derived from these images is executed  ...  stretching, noise insertion, and other minor geometric operations.  ... 
doi:10.1007/s11760-013-0471-0 fatcat:5gvr6jryarha5f74mtwvvjvcym

Exploiting image indexing techniques in DCT domain [chapter]

C. W. Ngo, T. C. Pong, R. T. Chin
1998 Lecture Notes in Computer Science  
Two blocks are used to model rough object shape; nine blocks to describe subband properties; and one block to compute color distribution.  ...  As a result, the amount of data used for processing and analysis is signi"cantly reduced. This can lead to simple yet e$cient ways of indexing and retrieval in a large-scale image database.  ...  Acknowledgements This work is supported in part by RGC Grants HKUST661/95E, HKUST6072/97E, and HKUST6089/ 99E.  ... 
doi:10.1007/bfb0016499 fatcat:ea46tfvx7bfpha7xgbzccolmaq

Exploiting image indexing techniques in DCT domain

Chong-Wah Ngo, Ting-Chuen Pong, Roland T. Chin
2001 Pattern Recognition  
Two blocks are used to model rough object shape; nine blocks to describe subband properties; and one block to compute color distribution.  ...  As a result, the amount of data used for processing and analysis is signi"cantly reduced. This can lead to simple yet e$cient ways of indexing and retrieval in a large-scale image database.  ...  Acknowledgements This work is supported in part by RGC Grants HKUST661/95E, HKUST6072/97E, and HKUST6089/ 99E.  ... 
doi:10.1016/s0031-3203(00)00111-4 fatcat:5bouiyhvkrfgpob5qo5t5dhvdq

Trace transform based method for color image domain identification [article]

Igor G. Olaizola and Marco Quartulli and Julian Florez and Basilio Sierra
2019 arXiv   pre-print
Context categorization is a fundamental pre-requisite for multi-domain multimedia content analysis applications in order to manage contextual information in an efficient manner.  ...  In this paper, we introduce a new color image context categorization method (DITEC) based on the trace transform.  ...  To concentrate the signal energy to the lowest spatial frequencies, a two-dimensional DCT (Discrete Cosine Transform) is applied.  ... 
arXiv:1208.3901v3 fatcat:kqyefvoyirajtbt4aeouidcl4e

The world of geography: Visualizing a knowledge domain with cartographic means

A. Skupin
2004 Proceedings of the National Academy of Sciences of the United States of America  
From an informed critique of existing methods to the development of original tools, cartographic engagement can provide a unique perspective on knowledge domain visualization.  ...  Along with a discussion of some principles underlying a cartographically informed visualization methodology, results of experiments involving several thousand conference abstracts will be sketched and  ...  The research presented here is partially supported by the Louisiana Board of Regents Support Fund, Grant LEQSF(2002-05)-RD-A-34.  ... 
doi:10.1073/pnas.0307654100 pmid:14764896 pmcid:PMC387307 fatcat:2a53wqku3zhsrim76d5ho6rirq

An Efficient Robust Blind Watermarking Method Based on Convolution Neural Networks in Wavelet Transform Domain

Nguyen Chi Sy, Ha Hoang Kha, Nguyen Minh Hoang
2020 International Journal of Machine Learning and Computing  
Different from the common watermarking techniques based on the spatial domain or transform domain, in this paper, a novel scheme of digital image blind watermarking based on the combination of the discrete  ...  Digital watermarking is one of the most widely used techniques for the protection of ownership rights of digital audio, images, and videos.  ...  Based on the domain in which the watermark is embedded, digital image watermarking techniques can typically be divided into different categories such as the spatial domain [6] , [7] , transform domain  ... 
doi:10.18178/ijmlc.2020.10.5.990 fatcat:mbnrzoqqozhcznkv3gkozestbu

Texture feature extraction in the spatial-frequency domain for content-based image retrieval [article]

Nadia Baaziz, Omar Abahmane, Rokia Missaoui
2010 arXiv   pre-print
Therefore, many research contributions are focusing on techniques enabling higher image retrieval accuracy while preserving low level of computational complexity.  ...  This paper highlights the state-of-the-art and current progress relevant to texture-based image retrieval and spatial-frequency image representations.  ...  Recent studies have reported the achievement of remarkable outcomes due to the development of a variety of new texture feature extraction techniques operating on these multiscale image representations.  ... 
arXiv:1012.5208v1 fatcat:ew5orkvrx5gvbjpym4e7d2oyne

Frequency domain normal map filtering

Charles Han, Bo Sun, Ravi Ramamoorthi, Eitan Grinspun
2007 ACM Transactions on Graphics  
This theoretical result explains many previous filtering techniques as special cases, and leads to a generalization to a broader class of measured and analytic BRDFs.  ...  Our practical algorithms leverage a significant body of work that has studied lighting-BRDF convolution.  ...  Normal map filtering and multiscale representations are a long-standing problem, and we have had many discussions (and initial efforts at a solution) with a number of researchers over the years including  ... 
doi:10.1145/1239451.1239479 fatcat:gwlvoxkgirdjfmutspa26xa7ve

Frequency domain normal map filtering

Charles Han, Bo Sun, Ravi Ramamoorthi, Eitan Grinspun
2007 ACM SIGGRAPH 2007 papers on - SIGGRAPH '07  
This theoretical result explains many previous filtering techniques as special cases, and leads to a generalization to a broader class of measured and analytic BRDFs.  ...  Our practical algorithms leverage a significant body of work that has studied lighting-BRDF convolution.  ...  Normal map filtering and multiscale representations are a long-standing problem, and we have had many discussions (and initial efforts at a solution) with a number of researchers over the years including  ... 
doi:10.1145/1275808.1276412 fatcat:savtkerqavcshh2w4ptzhnzwmq

Frequency domain normal map filtering

Charles Han, Bo Sun, Ravi Ramamoorthi, Eitan Grinspun
2007 ACM Transactions on Graphics  
This theoretical result explains many previous filtering techniques as special cases, and leads to a generalization to a broader class of measured and analytic BRDFs.  ...  Our practical algorithms leverage a significant body of work that has studied lighting-BRDF convolution.  ...  Normal map filtering and multiscale representations are a long-standing problem, and we have had many discussions (and initial efforts at a solution) with a number of researchers over the years including  ... 
doi:10.1145/1276377.1276412 fatcat:uspfvbpecrcsjkwdeydunjmqwe

Scene classification in compressed and constrained domain

G.M. Farinella, S. Battiato
2011 IET Computer Vision  
The frequency domain has been successfully exploited to holistically encode the content of natural scenes in order to obtain a robust representation for scene classification.  ...  The authors exploit a holistic representation of the scene in the discrete cosine transform domain fully compatible with the JPEG format.  ...  ., 2011, Vol. 5, Iss. 5, pp. 320-334 4.6 Classification performances on other classes of scenesThe proposed classification framework can be applied to other classes of scene.  ... 
doi:10.1049/iet-cvi.2010.0056 fatcat:idfolccgtbdatdnaztbrehyo7u
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