Preface to Workshop on Real-Time Vision for Human-Computer Interaction

Kisačanin, Branislav; Pavlović, Vladimir; Huang, Thomas S.

doi:10.1109/cvpr.2004.423

Cited by 10 publications

(12 citation statements)

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“…Researchers from the GRASP laboratory in the University of Pennsylvania have successfully endowed a robot called 2) Demo available at http://textspotter.org/ 3) with the ability of locating and reading characters in natural scenes. While moving in the room, this robot can perceive the surrounding environment, recognize the characters, doorplates and signs on the wall, and infer its position according to such information.…”

Section: Related Applications and Products Of Scene Text Detection Anmentioning

confidence: 99%

“…This property makes text present in natural images and videos a special, important source of information. The rich and precise information embodied in text can be very beneficial to a variety of vision-based applications, such as image search [1], target geolocation [2], human-computer interaction [3], robot navigation [4] and industrial automation [5]. Consequently, automatic text detection and recognition, offering a means to access and utilize textual information in images and videos, have become active research topics in computer vision and document analysis.…”

Section: Introductionmentioning

confidence: 99%

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Scene text detection and recognition: recent advances and future trends

Zhu

Yao

Bai

2015

Front. Comput. Sci.

356

158

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Text, as one of the most influential inventions of humanity, has played an important role in human life, so far from ancient times. The rich and precise information embodied in text is very useful in a wide range of vision-based applications, therefore text detection and recognition in natural scenes have become important and active research topics in computer vision and document analysis. Especially in recent years, the community has seen a surge of research efforts and substantial progresses in these fields, though a variety of challenges (e.g. noise, blur, distortion, occlusion and variation) still remain. The purposes of this survey are three-fold: 1) introduce up-to-date works, 2) identify state-of-the-art algorithms, and 3) predict potential research directions in the future. Moreover, this paper provides comprehensive links to publicly available resources, including benchmark datasets, source codes, and online demos. In summary, this literature review can serve as a good reference for researchers in the areas of scene text detection and recognition.

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Section: Related Applications and Products Of Scene Text Detection Anmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Scene text detection and recognition: recent advances and future trends

Zhu

Yao

Bai

2015

Front. Comput. Sci.

356

158

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“…As a result, for each time period t (defined by the period of sampling used in SC-2) we obtain a value of forecasting function fr and its variance 0-;. Afterwards we make a forecasting statement according to the following procedure, based on approach presented in [20]:…”

Section: Making a Forecastmentioning

confidence: 99%

Forecasting of Information Security Related Incidents: Amount of Spam Messages as a Case Study

Romanov

Okamoto

2010

IEICE Trans. Commun.

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SUMMARYWith the increasing demand for services provided by Communication networks, quality and reliability of such services as well as confidentiality of data transfer are becoming ones of the highest concerns. At the same time, because of growing hacker's activities, quality of provided content and reliability of its continuous delivery strongly depend on integrity of data transmission and availability of communication infrastructure, thus on information security of a given IT landscape. But, the amount of resources allocated to provide information security (like security staff, technical countermeasures and etc.) must be reasonable from the economic point of view. This fact, in turn, leads to the need to employ a forecasting technique in order to make planning of IT budget and short-term planning of potential bottlenecks. In this paper we present an approach to make such a forecasting for a wide class of information security related incidents (ISRI) -unambiguously detectable ISRl. This approach is based on different auto regression models which are widely used in financial time series analysis but can not be directly applied to ISRI time series due to specifics related to information security. We investigate and address this specifics by proposing rules (special conditions) of collection and storage of ISRI time series, adherence to which improves forecasting in this subject field. We present an application of our approach to one type of unambiguously detectable ISRI -ill110unt of spam messages which, if not mitigated properly, could create additional load on communication infrastructure and consume significant amounts of network capacity. Finally we evaluate our approach by simulation and actual measurement. key words: jl1/ormatiol1 securiTY incidents, forecasting, planning

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“…Extensive surveys have been published in several HCI fields such as face detection (Yang et al, 2002), face recognition (Zhao et al, 2003), facial expression analysis (Fasel and Luettin, 2003), gesture recognition (Pavlovic et al, 1997, Mitra andAcharya, 2007), human motion analysis (Gavrila, 1999, Aggarwal and Cai, 1999, Wang et al, 2003. A survey presenting the use of vision in HCI, particularly in the area of head tracking can be found in work (Porta, 2002, Kisacanin, 2005. The authors of work (Jaimes and Sebe, 2007) give an overview of multimodal human machine interfaces.…”

Section: Current Researchmentioning

confidence: 99%

Adaptive Real-Time Image Processing for Human-Computer Interaction

Kwolek¹

2008

Human Computer Interaction: New Developments

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Preface to Workshop on Real-Time Vision for Human-Computer Interaction

Cited by 10 publications

References 0 publications

Scene text detection and recognition: recent advances and future trends

Scene text detection and recognition: recent advances and future trends

Forecasting of Information Security Related Incidents: Amount of Spam Messages as a Case Study

Adaptive Real-Time Image Processing for Human-Computer Interaction

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