Visual Saliency Weighting and Cross-Domain Manifold Ranking for Sketch-Based Image Retrieval

Furuya, Takahiko; Ohbuchi, Ryutarou

doi:10.1007/978-3-319-04114-8_4

Cited by 21 publications

(14 citation statements)

References 15 publications

(46 reference statements)

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“…Sketch based retrieving methods are also used for retrieving 3D images on [56], [57], [58]. In computer graphics, there is an important application is retrieving the 3D models from 2D.…”

Section: Various Approaches and Techniques For Retrieving 3d Imagementioning

confidence: 99%

A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains

Garg¹

2018

ijacsa

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Multiple amount of multi-dimensional images are designed and most of them are available on internet at free of cost. The 3D images include three characteristics namely width, height, and depth. The images which are created as 3D can describe the geometry in terms of 3D coordinates. These coordinates help to obtain the object from the image much easier and accurate. In this paper, we presented a review about the Multi-dimensional image retrieval. Multi-dimensional image retrieval is a process of extracting the relevant 2D or 3D images from the huge database. To perform image retrieval process on large database, several methods like text based, Content based, Annotation based, semantic based, and sketch based were used. The image retrieval techniques are mostly used in the fields like Digital library, medical, forensic science, and so on. A systematic literature review has been shown for image retrieval methods reported on 2010 to 2017. The aim of this article is to show the various concept and efforts of different authors on image retrieval technique.

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“…Sketch based retrieving methods are also used for retrieving 3D images on [56], [57], [58]. In computer graphics, there is an important application is retrieving the 3D models from 2D.…”

Section: Various Approaches and Techniques For Retrieving 3d Imagementioning

confidence: 99%

A Study of Retrieval Methods of Multi-Dimensional Images in Different Domains

Garg¹

2018

ijacsa

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“…To accelerate the development of low-end smart phones, all terminal manufacturers launched a different system of smart phones, mobile internet terminal types have become more, the security flaw also increased. Due to the user has natural viscous, personal information has very high value, continuous expansion of payment and business office functions, carrying a huge commercial value, so threats than a computer user more serious [10][11][12]. IP processing of telecommunication network can make the closed network interconnection, but this also introduces the Internet's system vulnerabilities and security threats to the telecommunication network, which makes the security risk increased.…”

Section: Related Workmentioning

confidence: 99%

Secure Signature Authentication Algorithm in Mobile Internet

Sun¹

2016

IJSIA

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Mobile Internet can access to the Internet networkat anytime and anywhere, thus bringing convenient in the application. At the same time, it also brings the hidden trouble of safety certification, and reduces the cost of access, aiming at this problem, this paper proposes the authentication signature algorithm. This algorithm is based on domain alliance, which can effectively prevent attacks, so as to improve the safety and the stability of the system, and enhance its ability to deploy.

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“…It can be seen, the existing research is still based on physical transport layer and application layer scheduling combining way, the focus remains at the physical layer, application layer business are mainly concentrated in upload and download data transmission, which is obviously does not meet the requirements of mobile Internet. The computational quantity of Internet is studied by [10], and the calculation of the dynamic distribution is accord with the method of cloud computing. In order to improve the efficiency of the distribution, [11] is used to calculate the load distribution of the workload.…”

Section: Research Status Of Cloud Computingmentioning

confidence: 99%