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This paper presents a music emotion classification based on music highlight detection. To find a highlight segment of songs, we use only energy information based on ormalized MDCT coefficients of audio streams. With daBoost algorithm, the proposed tempo feature is combined with timbre features and improves the performance of music emotion classification based on the detected music highlight segment...
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 user's request. The...
Since feature extraction not only plays a key role, but also have a great effect on image analysis and registration. In this paper, we evaluate a comparative performance of three point feature extraction algorithm such as SIFT, SURF and BRISK. The experimental results show that SURF exhibited a better significant results on extracting point features and matching time, compared to SIFT and BRISK. The...
This paper presents a video fingerprinting method for real-time TV commercial advertising identification. In the proposed method, prominent peak pairs based on differences of the mean luminance of adjacent blocks in the spatiotemporal domain are computed, hashed, and stored, to be efficiently compared to one another. Experimental results confirm that the proposed method achieves preliminary promising...
This paper presents an effective method based on the empirical mode decomposition (EMD) to extract driver's breathing signal from an accelerometer installed on the safety belt. The method has been verified to have consistent results with commercial belt under various driving conditions, where the acceleration from car driving or road bumps has much higher signal power than the desired breathing signal...
In high-field magnetic resonance imaging (MRI), water-fat separation in the presence of B0 field inhomogeneity is important research. Various field map estimation techniques that use three-point multi-echo acquisitions have been developed for reliable water fat separation. Among the numerous techniques, iterative decomposition of water and fat with echo asymmetry and least squares estimation (IDEAL)...
The recent growth in the mobile device market has increased the number of users having multiple handheld devices. Therefore, the need for users to share media contents and play them continuously by switching from one device to another has increased. This paper introduces an implementation result of a continuous playing schemes between multiple devices based on RESTful web services and an open service...
To deal with a large-scale image database, we design and implement an image recognition system using visual word. First, SIFT (Scale-invariant Feature Transform) features are extracted from the images. Subset of these features is then selected during the feature selection process. Finally selected features are quantized to the visual words. These visual words play an important role at the first search...
For efficient data management, we propose a system which generates metadata for image contents. This system is using Content-Based Image Retrieval System (CBIR) based on Mpeg-7 descriptors. First, low-level features are extracted from the query image without metadata and the images with similar low-level features are retrieved from the CBIR system. Metadata of the result images which are similar to...
In this paper, we present a metadata schema design for augmented reality based on workflow. Utilizing the schema, the necessary information for processing of augmented reality service can be utilized for efficient system configuration.
The goal of this paper is to explain the design and implementation of network infrastructure based on wireless sensor networks in a building. The network infrastructure helps evacuate the people from a disaster such as fire or bombing due to humidity, intensity of illumination etc., based on collected local information. The system considers the population supporting the direction of proper evacuation...
In this paper, we design and develop an educational virtual system which can experience Goguryeo tomb murals in the virtual world. Goguryeo tomb murals are well known in the world, and they are registered as a UNESCO World Heritage site by the value Acknowledged worldwide. We design an user-friendly interface for Goguryeo tome murals by Flash, and make a modelling and rendering with 3D Max. In addition,...
Despite increasing demands for big data application based on the analysis of scattered unstructured data, few relevant studies have been reported. Accordingly, the present study suggests a technique enabling a sentence-based semantic analysis by extracting objects from collected web information and automatically analyzing the relationships between such objects with collective intelligence and language...
According to data volumes in scientific applications have grown exponentially, new scientific methods to analyze and organize the data are required. MapReduce programming is driving Internet services and those services operation in a cloud environment. Hence it is required to efficiently provide resources for handling diverse MapReduce applications. In this paper we show the Hadoop application with...
Various personalized recommendation services are provided through internet for users with different screen sizes and various sensors. It is also expected to be many competing service providers for similar recommendation service, and the users are expected to have the chances to select one of these services. However, the user related information as well as the environmental information around the user...
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