Do-Won Nam

Interlock System for DRM Interoperability of Streaming Contents

DRM(digital rights management) is a tool for protecting copyrights and managing the rights of usage. Many DRM technology have been developed, which cause inconvenience for user in the usage of the content. DRMs standardizations have been proceeding for interoperability between different DRMs therefore. EXIM developed by Korea recently proposed the method for the interoperability of download contents, however, in the case of streaming content, it is difficult to apply EXIM technology for downloadable content because the process of encoding and transmitting of streaming content is complicated and the DRM technology is applied within these processes. In this paper, we propose the DRM interoperability structure for streaming content between the content providing server and the end device in which different DRM systems are installed respectively. We set up the interlock system for the DRM interoperability of streaming content between the content provision server and end device and using this system we wish to design the free and safe distribution system of the streaming content independent of the DRM types.

DRM Content Adaptation Between Different DRM Systems for Seamless Content Service

DRM is a technology to protect digital contents from unauthorized access and to control the way a user consumes his content. Although modern DRM technologies carry out their duty very well as a protector of copyrighted contents but users face different problem, inconvenience due to the lack of interoperability between DRM systems. We have suggested a scheme to exchange DRM-protected contents between heterogeneous DRM systems by providing content exchange format not bound to specific DRM system. In this paper, we address the limitations of previous work and suggest a new content exchange scheme to solve the problem.

Protection of MPEG-2 multicast streaming in IP-TV

This paper presents a protection of broadcasting service using MPEG-2 multicast streaming in environment of IP based set-top box (STB). This protection scheme is free of key synchronization problem of digital rights management (DRM) system and more efficient than condition access system (CAS) in bandwidth respect.

Multiple player tracking in soccer videos: an adaptive multiscale sampling approach

Visual tracking is an essential technique in computer vision. Even though the notable improvement has been achieved during last few years, tracking multiple objects still remains as a challenging task. In this paper, a novel method for tracking multiple players in soccer videos, which include severe occlusions between players and nonlinear motions by their complex interactions, is introduced. Specifically, we first extract moving objects (i.e., players) by refining results of background subtraction via the edge information obtained from the frame differencing result. Then, we conduct multiscale sampling in foreground regions, which are spatially close to each tracked player, and subsequently computing the dissimilarity between sampled image blocks and each tracked player. Based on the best-matched case, the state of each tracked player (e.g., center position, color, etc.) is consistently updated using the online interpolation scheme. Experimental results in various soccer videos show the efficiency and robustness of our method compared to previous approaches introduced in the literature.

A study on motion recognition of objects in soccer game

Recognition of motion in football videos is necessary for an automatic understanding of the events that occur within football games. In order to recognize the motion, we first define the motions that can occur for each object in the football game, and make our system learn the object that performs the defined motion from the actual football game videos. Then, the system is configured to automatically recognize the motions generated in the actual football game videos within the defined motion. Experiments on motion recognition for 20 players, 1 referee, and 2 assistant referees were performed. The average recognition accuracy per motion for each object was 71.5%, 79.1%, and 93.7%. In this paper, we propose a method for simultaneously recognizing motions of various objects in football videos through learning.

A study on composition of context-based soccer analysis system

Recently, the tendency to analyze sport activities by combining sports science and ICT technology is increased. This aspect is also presented in the soccer analysis, and it is easy to find various cases of analysis according to the purpose. However, the systems presented so far do not attempt to provide a high level of content analysis. This paper discussed the limitations of the statistical analysis of the current soccer analysis system, and then presented a concrete method of constructing the system to bring it up to the content understanding base. Through the development of the proposed system, we can expect a positive change in terms of new aspects of service, industry and ecosystem.

A comparative study on multi-object tracking methods for sports events

Due to the rapid growth of machine learning technology, there is a need for research to automatically recognize objects and analyze their behavior in various fields, as is the case with sports. Currently, a system for detecting and tracking multiple objects in a sporting event is not accurate enough. Since most of the services depend on the manual operation of an experienced operator, it is necessary to develop a real time tracking technique for detecting the position of an object. In this paper, we propose an algorithm for multi-object tracking in a sporting event by presenting the results of comparing the performance of existing algorithms for multi-object tracking.

Soccer event recognition technique based on pattern matching

Recently, there has been an increasing number of attempts to analyze sport activities through the combination of sports science and ICT technology. In the case of soccer, several leading companies have already developed tracking techniques for players to automatically acquire sports analysis data. However, the automatic extraction of event data for analyzing the sports games is limited to the level of academic research, and the field still depends on the manual work of professional analysts. This paper proposes a soccer event recognition technology based on pattern matching. As can be seen from the experimental results, it is possible to recognize various events much more accurately than the event recognition technology at academic research level.

Implementation of Digital Cinema Mastering System Supporting Multiple Encoding and Wrapping Servers

Digital Cinema Initiatives, LLC (DCI) has established DCI Digital Cinema System Specification (DCSS) which is intended to promote the widespread deployment of digital cinema. We propose a distributed mastering system of digital cinema. It can simultaneously encode Digital Cinema Distribution Master (DCDM) images into JPEG2000 images on remote servers and produce a Digital Cinema Package (DCP) and Key Delivery Message (KDM) that can be satisfied to DCSS. The distributed mastering system covers the packaging process of DCP for digital cinema content and the generating and issuing process of KDM for the DCP.

Implementation of digital cinema mastering system

Digital Cinema Initiatives released a set of technical specifications and requirements for Digital Cinema. We implement the mastering system of digital cinema that produces the Digital Cinema Package (DCP) which has been designed to deliver digital cinema contents such as image, audio and subtitle and Key Delivery Message (KDM) which contains the security information to be used to decrypt the DCP and will be issued to a specific Digital Cinema playback server. We propose a mastering system that covers the packaging process of DCP for Digital Cinema content and the generating and issuing process of KDM to protect the DCP.