Je-Ho Park

Fragmentation Problem in Android

Due to the nature of an open operating system, Android framework cannot avoid the fragmentation problem. To address this, cost of time and efforts to devise application tests in mobile environment is unavoidable. In this paper, we propose two methods that handle android fragmentation problem.

JPEG's JPSearch Standard: Harmonizing Image Management and Search

Triggered by the rise of social networks, community-based image sharing platforms are emerging at an increasing rate. Currently, almost every repository offers a different interaction interface and metadata description format. Unfortunately, this prevents unified and efficient access to these repositories. Consequently, data exchange between systems is often cumbersome. In this context, ISO/IEC JTC1 SC29 WG1 (more commonly known as JPEG) initiated the JPSearch framework standardization, which aims to foster the interaction with and among image repositories. The standard focuses on three main cornerstones supporting repository synchronization, search and access, and image collection creation and maintenance. This article discusses the main concepts, parts, and achievements of the JPSearch framework and demonstrates its use through a set of substantial case studies.

JPSearch: New international standard providing interoperable framework for image search and sharing

For the last 15 years, there have been various research and great advances in the field of content-based search and retrieval of images. In this paper, we present an overview of the JPSearch Standard, which is a recently published set of international standards providing interoperable framework for image search and sharing. The JPSearch standard is composed of six parts, which are Part 1: System framework and components, Part 2: Registration, identification and management of schema and ontology, Part 3: Query format, Part 4: File format for metadata embedded in image data (JPEG and JPEG 2000), Part 5: Data interchange format between image repositories, Part 6: Reference software. The Part 1 provides motivation and overview of the JPSearch framework. The Part 2 supports interoperability among various metadata specifications and social tagging using the specification of core metadata and translation rule description language. The Part 3 provides powerful image query language for interoperability among multiple image databases. The Part 4 specifies a file format based on JPEG and JPEG 2000 file format in which arbitrary number of metadata description of a image can be embedded. The Part 5 supports interoperability in interchanging images with metadata between image repositories. Finally, the Part 6 provides reference and utility softwares based on which the JPSearch compliant systems can be easily developed. In this paper, summaries and usage examples for each part of the JPSearch standard are presented.

Implementation of Image Descriptor Based on SURF and DCD

Image retrieval is one of the most exciting and fastest growing research areas in the field of multimedia technology. In this paper, we present and implement an image descriptor that extracts the feature of image using combination of SURF (Speed Up Robust Feature) and DCD (Dominant Color Descriptor) scheme. To evaluate the performance of implemented algorithm, we assess the performance of simulation in terms of average precision on two image database commonly used. The result shows that the proposed approach obtain an enough results which are applicable to mobile environments.

Design of System Framework for Searching Medical Information

This work aims to find the medical information suited to the conditions, by analyzing the keywords provided from an user. With the given information, this model can be used to provide a flexible, compatible and effective searching paper for medical information. The proposed framework which helps medical institutions to search medical information in conjunction with analysis of users request. The framework mainly includes key component of metadata for searching the medical information suited to the conditions.

Emotional Recognition System Using Curve Fitting with Bezier Cubics

Recognizing and understanding of human emotion is a strongly reasonable method for the interaction among human and machine communication system. The most expressive way to extract and recognize the humane emotion is through facial expression analysis. This paper presents and implements an automatic extracting, understand and recognizing method of facial expression and emotion from input still images. To evaluate the performance of the proposed scheme, we perform real implementation and experiment to verify the efficiency of emotional recognition with expressive facial database. The obtained results reveal good performance.

Automatic Generation of Image Identifiers Based on Luminance and Parallel Processing

Recently, as the functionality of digital image acquisition devices is being improved, the commercial products with the high-performance functionality, such as smart phones and digital cameras, are being considered and utilized as an everyday commodity. As a result, it is natural that the volume of images which are collected from various paths or applications is also being enormously increased. According to this trend, the service platforms and applications, which support the functionalities necessary for image manipulation such as production, archiving and search, naturally demand the efficient management of enormous images either in independent or distributed systems. In such image management systems, an image identifier plays an important role in terms of identification of a particular image. Previous researches have been resolving problems either by applying complex methods that consume quite so much resources or by simple heuristic methods with the potential risk in terms of correspondence problem between identifiers and images. Therefore, the development of efficient and effective methods for the problem needs to be studied. In this paper, we propose a method to construct indexing of images utilizing the concept of the luminance area. The experimental evaluation of the proposed method illustrates that the proposed method satisfies the requirements for the image identification while reducing the processing cost.

Representation and automatic generation of state-transition mapping tree

Among software testing techniques for the detection of software defects, state-transition-based testing which utilizes state diagrams is pretty well known and is being used widely. Such software testing techniques that are based on specifications of a software and perform various tests by utilizing a number of state diagrams are quite well known. According to different testing environment including individuals, applied methods, and the size of a perceived system, the resulting diagrams might highly show the discrepancy regarding some perspectives such as correctness, the quality of representation, and so on. This significantly affects the understanding of a system such that the system under consideration might be interpreted in different ways. The highly complex state diagrams can have a negative effect on the productive and positive utilization of state diagrams in the software system development including the analysis or the state-transition-based test process. Many state diagram-based process conventional approaches for automatic software analysis do not take the complexity problem into deep consideration so much. Moreover, the state diagrams generated by the methods that place a strong emphasis on complexity can generate inappropriate test cases according to the possible misled guidelines or the incorrect objectives. In this paper, we propose methods for resolution of the complexity problem in a state diagram without modification of the states or the transition relationships. In our proposed methods, we provide a representation model in which a software system can be interpreted in the context of a state diagram and an automatic generation method for the proposed representation. We also illustrate a case study for justification of plausibility of the proposed methods.

Color Overlapping Method of Projection System on LEDs

This paper proposes a primary color overlapping method for increasing the brightness of projection system using light-emitting diodes (LEDs). The proposed approach drives the pulse width modulated signals of red, green and blue LEDs. The proposed color overlapping method synthesizes secondary colors of yellow and cyan from primary colors of RGB. By the proposed method, brightness of the projected image is improved by bout 30 %, compared to the conventionalnon-color overlapping method in a project system with LEDs.

Utilization of Luminance and Location for Image Identifier

When an image identifier is generated by using luminance based method and variance in luminance domain does not exist, the generation of identifier might be failed in terms of satisfied requirements. In this paper, we present a noble identifier generation method that utilizes luminance and corresponding location in an image.