Papers - THI THI ZIN
-
A novel research topic ranking system in academic networks Reviewed
Thi Thi Zin, Pyke Tin, H. Hama
Genetic and Evolutionary Computing (Proceedings of the 9th Intl. Conf. on Genetic and Evolutionary Computing) 1 361 - 368 2015.8
Language：English Publishing type：Research paper (international conference proceedings)
-
A Matrix-Geometric Method for Web Page Ranking Systems Reviewed
Thi Thi Zin, Pyke Tin, H. Hama, T. Toriu
Journal of Information Hiding and Multimedia Signal Processing 6 ( 4 ) 639 - 647 2015.7
Language：English Publishing type：Research paper (scientific journal)
-
A Novel Hybrid Approach to Image Ranking System Reviewed
Pyke Tin, Thi Thi Zin, T. Toriu and H. Hama
ICIC International, ICIC Express Letters (Part B: Applications) 6 ( 3 ) 743 - 748 2015.3
Language：English Publishing type：Research paper (scientific journal)
-
A Triplet Markov Chain Model for Loitering Behavior Detection Reviewed
Thi Thi Zin, Pyke Tin, H. Hama, T. Toriu
ICIC International, ICIC Express Letters (Part B: Applications) 6 ( 3 ) 613 - 618 2015.3
Language：English Publishing type：Research paper (scientific journal)
-
Image smoothing using a metric tensor for an affine invariant scale space
Toriu T., Zin T., Hama H.
2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014 2015.1
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014
© 2014 IEEE. This paper proposes a new image smoothing method using a metric tensor for affine invariant scale space. In the field of image processing and recognition, Gaussian filtering is a common procedure for image smoothing. For example, scale space construction based on Gaussian filtering is sometimes used as a preprocessing of various image processing tasks. However Gaussian filtering is not affine invariant. This paper proposes a new method for image smoothing that is invariant under such affine transformation that does not change the area of any region in the image. It is shown that a scale space representation can be constructed collaterally with the image smoothing. Experimental results show that the proposed method is almost never affected by affine transformation different from usual Gaussian filtering. In the proposed method, processing results are expected to be not affected much by variation of the viewpoint.
-
Cow identification by using shape information of pointed pattern Reviewed
K. Sumi, I. Kobayashi, Thi Thi Zin
Advances in Intelligent Systems and Computing 388 273 - 280 2015
Language：English Publishing type：Research paper (scientific journal) Publisher：Advances in Intelligent Systems and Computing
Monitoring cow behavior and performance plays an important role in dairy health and welfare management systems. Due to the increased number of elderly farm workers, the demands for automatic cow monitoring system become a key role. Moreover, the image based technology for a monitoring system is a promising technique because it is relatively low cost and easy to install. In this aspect, the fundamental and important work to be done is to make an identification of individual cows with high accuracy. Thus in this paper, a simple and effective method for cow identification is introduced by using a modified background subtraction method and histogram based decision process. Specifically, the painted-marks are placed on all black-haired cows and video images are taken. Then the marked region is extracted by using the proposed background subtraction method and histogram based features. Finally, the identification process is performed and some experimental results are shown by using self-collected database taken in the University dairy farm.
-
A triplet Markov chain model for loitering behavior detection
Zin T., Tin P., Hama H., Toriu T.
ICIC Express Letters, Part B: Applications 6 ( 3 ) 613 - 618 2015
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：ICIC Express Letters, Part B: Applications
© 2015 ICIC International. Currently, a sizable number of monitoring systems have been established in public areas where the security factors are sensitive to discourage and prevent crimes. One of applications in such places is to detect loitering people since they can lead to various forms of criminal actions such as drug dealing, pick-pocking, theft and many others. To address this problem, we propose a new concept of Triplet Markov Chain model for detecting loitering people in public areas. After having extracted the foreground object, people are recognized amongst the foreground objects. Then they start being embedded into a Markov Chain by using three types of processes, namely, observing process, state process and underlying process. Finally, if the targeted state remains in the scene longer than the user-defined loitering time threshold then the loitering behavior is detected. The proposed method has been confirmed by using our own video sequences and PETS 2007 datasets.
-
A novel hybrid approach to image ranking system Reviewed
Pyke Tin, Thi Thi Zin, T. Toriu, H. Hama
ICIC Express Letters, Part B: Applications 6 ( 3 ) 743 - 748 2015
Language：English Publishing type：Research paper (scientific journal) Publisher：ICIC Express Letters, Part B: Applications
Today image ranking systems mostly aim at bridging visual images and user intentions through content-based image retrieval concepts. However, it is still far from satisfactory to narrow down the gap between the outcome images and users expectations. Many researchers recognized that by using visual content or textual content alone it is not easy to identify the user’s interest. In this paper, we propose a novel hybrid approach to image re-ranking system which integrates both visual information of an image and user concepts by forming image interest groups. Specifically, we first establish two stochastic matrices namely, image-content matrix and user-intent matrix, and then the two matrices are combined as a convex combination to form a new user-intent-visual matrix. Finally, the stationary distribution of the matrix is used as an image ranking system so that the users can obtain the desired images from the image datasets easily and effectively. Some experimental results are given to confirm our proposed method.
-
A new look into Web page ranking systems
Zin T., Tin P., Hama H., Toriu T.
Advances in Intelligent Systems and Computing 329 343 - 351 2015
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Advances in Intelligent Systems and Computing
© Springer International Publishing Switzerland 2015. This paper proposes a new way of looking into Web page ranking systems by using some concepts of queuing theory in operations research and stochastic water storage theory in hydrology. Since both theories queuing and stochastic water storage are rich in technology as well as application aspects, the new look in this paper may lead to new directions in Web page ranking systems and related research areas. In doing so, first this paper draws some analogies between a Web page ranking system and theory of queues. Then it shows how a Web page ranking system can be tackled to reduce current obstacles by using queuing theory techniques. In the second, a Web page ranking system is modeled as a framework of stochastic water storage theory to derive a list of Web page rankings. Third and finally, the outcome results of rankings obtained by using the proposed two theories queuing theory and stochastic water storage are compared and analyzed analytically as well as experimentally. The experimental results show the proposed new look is promising for establishing a new research area which can improve the current situations and difficulties occurred in search engines and their ranking systems in particular and some problems in World Wide Web as a whole.
-
A matrix-geometric method for web page ranking systems
Zin T., Tin P., Hama H., Toriu T.
Journal of Information Hiding and Multimedia Signal Processing 6 ( 4 ) 639 - 647 2015
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Journal of Information Hiding and Multimedia Signal Processing
© 2015 ISSN. An algorithmic approach which is known as Matrix-Geometric method is an efficient and popular in solving various types of stochastic models especially for queueing and water storage models. This paper proposes a modified Matrix-Geometric method for calculating random web page ranks in World Wide Web (WWW) by considering web page ranking system as a stochastic model in random environments. Since the Matrix- Geometric approach is very powerful in variety of stochastic models, it may develop new promising directions in Web Page Ranking Systems and related research areas. In order to do so as first step, a web page ranking system is modeled in the frameworks of queueing models. Then an attempt is made to reduce the obstacles occurred in the problems of web page ranking systems. Similarly, in the second step, a Web page ranking system is modeled as a framework of stochastic water storage theory to derive a list of Web page rankings by using Matrix-Geometric method. Some comparison results are presented to confirm the efficiency of the proposed methods. The experimental results shows the pro- posed approach is promising for establishing a new research area which can improve the current situations and difficulties occurred in search engines and their ranking systems in particular and some problems in WWW as a whole.
-
Zin T., Lin J., Pan J., Tin P., Yokota M.
Advances in Intelligent Systems and Computing 388 2015
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Advances in Intelligent Systems and Computing
-
A cluster based ranking framework for multi-typed information networks
Tin P., Toriu T., Zin T., Hama H.
Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014 415 - 418 2014.12
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014
© 2014 IEEE. A multi-typed information network is an information network which contains multiple types of objects having actions and interactions between each other. Although many studies on single typed information network haven been found in the literature, only a little has been known concerning with multi-typed information networks. On the other hand, multiple type information networks are ubiquitous and forming an important component of modern information infrastructure. Thus, in this paper we propose a new method to give a better understanding of information networks and their properties. Specifically we propose a new cluster based ranking system for multi-typed information networks. In this aspect, ranking evaluates objects of information networks based on some mathematical ranking function which illustrates the characteristic of objects with which any two objects of the same type can be compared by qualitatively. Moreover, clustering group objects is based on a certain measure such that similar objects are in the same cluster whereas dissimilar objects are in different clusters. Then the ranking and clustering processes are integrated to extract insight overall views of information networks, so that the integrated method can be widely applied in different information network settings. Our experiments using DBLP datasets can generate good informative clusters producing reliable ranking system.
-
A new background subtraction method using bivariate poisson process Reviewed
Thi Thi Zin, Pyke Tin, T. Toriu, H. Hama
Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014 419 - 422 2014.12
Language：English Publishing type：Research paper (international conference proceedings) Publisher：Proceedings - 2014 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2014
Background subtraction is one of important fundamental steps in many image processing applications such as object recognition, detection, tracking, human behavior analysis in video surveillance systems, etc. So the background subtraction method must be efficiency, that is saving time and space and have a good performance. In order to achieve this aim, a new background subtraction method is proposed by using a bivariate Poisson process which takes both serial and spatial correlations of image pixels. The proposed method can deal with complex background scenarios including slowly moving foreground objects, illumination changes and etc. Numerous experiments on various types of video sequences show that the method is robust to compare with several existing methods, can achieve very promising performance.
-
A new incremental principal component analysis with a forgetting factor for background estimation Reviewed
T. Toriu, Thi Thi Zin, H. Hama
SPIE Proceedings: Electro-Optical and Infrared Systems: Technology and Applications XI 9249 - 7 2014.10
Language：English Publishing type：Research paper (international conference proceedings)
DOI： 10.1117/12.2067001
-
A Human Behavior Analyzer Framework for Consumer Product Search Engines Reviewed
Thi Thi Zin, Pyke Tin, T. Toriu, H. Hama
Proc. of the 3rd IEEE Global Conference on Consumer Electronics (GCCE 2014) 138 - 139 2014.10
Language：English Publishing type：Research paper (international conference proceedings)
-
An Embedded Knowledge Extraction Technology for Consumer Video Surveillance Reviewed
Thi Thi Zin, Pyke Tin, T. Toriu, H. Hama
Proc. of the 3rd IEEE Global Conference on Consumer Electronics (GCCE 2014) 510 - 511 2014.10
Language：English Publishing type：Research paper (international conference proceedings)
-
Image Smoothing Using a Metric Tensor for an Affine Invariant Scale Space Reviewed
T. Toriu, Thi Thi Zin, H. Hama
Proc. of 4th International Conference on Image Processing Theory, Tools and Applications (IPTA 2014) 1 - 6 2014.10
Language：English Publishing type：Research paper (international conference proceedings)
-
A Cluster Based Ranking Framework for Multi-Typed Information Networks Reviewed
Pyke Tin, Thi Thi Zin, T. Toriu, H. Hama
Proc. of 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2014) 415 - 418 2014.8
Language：English Publishing type：Research paper (international conference proceedings)
-
A New Background Subtraction Method using Bivariate Poisson Process Reviewed
Thi Thi Zin, Pyke Tin, T. Toriu, H. Hama
Proc. of 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2014) 419 - 422 2014.8
Language：English Publishing type：Research paper (international conference proceedings)
-
A Novel Method for Contact-Free Measurement of Dolphin's Body Size Using a 3D Bezier Curve Reviewed
H.Hama, T. Morisaka, Thi Thi Zin, Y. Hashimoto, R. Matsui
ICIC Express Letters (Part B: Applications): An International Journal of Research and Surveys 5 ( 2 ) 583 - 587 2014.4
Language：English Publishing type：Research paper (scientific journal)