Original status of smartphone video by analyzing the data volume according to the recording time.

Most video media are filmed and distributed through cell phones due to the improved camera performance and high ease of use. However, due to their digital nature, the original status of cell phone videos used as evidence must be verified. For this analysis, we devised a method to read whether the videos are original or not and whether they are second-order encoded or higher via a data-rate analysis over the recording time of the smartphone videos.

A method of smart phone original video identification by using unique compression ratio pattern.

Due to enhanced camera performance and easy using convenience, most videos are taken and distributed by smart phones. However, smart phone video file as an evidence needs to be verified. We analyzed digital videos with basic information (resolution, shooting time, frame rate, bit depth, sample rate, and so on) and compressed patterns with unique compression algorithm adjusted to certain models.

Identification of Mobile Phone and Analysis of Original Version of Videos through a Delay Time Analysis of Sound Signals from Mobile Phone Videos.

This study designs a method of identifying the camera model used to take videos that are distributed through mobile phones and determines the original version of the mobile phone video for use as legal evidence. For this analysis, an experiment was conducted to find the unique characteristics of each mobile phone. The videos recorded by mobile phones were analyzed to establish the delay time of sound signals, and the differences between the delay times of sound signals for different mobile phones were traced by classifying their characteristics.

Identification method for digital image forgery and filtering region through interpolation.

Because of the rapidly increasing use of digital composite images, recent studies have identified digital forgery and filtering regions. This research has shown that interpolation, which is used to edit digital images, is an effective way to analyze digital images for composite regions. Interpolation is widely used to adjust the size of the image of a composite target, making the composite image seem natural by rotating or deforming.

Two-dimensional sectioned images and three-dimensional surface models for learning the anatomy of the female pelvis.

In the Visible Korean project, serially sectioned images of the pelvis were made from a female cadaver. Outlines of significant structures in the sectioned images were drawn and stacked to build surface models. To improve the accessibility and informational content of these data, a five-step process was designed and implemented.

A novel forged image detection method using the characteristics of interpolation.

Development of digital image-editing programs has enabled us to be widely exposed to forged digital images surrounding us. Such forged images have been dispersed through the Internet, newspaper articles, and magazines, and in particular, the information contained in these unverified images happened to be regarded as true. As a result, the forged images provided wrong information for individuals and society, thus sometimes creating social issues.

A proposal of new reference system for the standard axial, sagittal, coronal planes of brain based on the serially-sectioned images.

Sectional anatomy of human brain is useful to examine the diseased brain as well as normal brain. However, intracerebral reference points for the axial, sagittal, and coronal planes of brain have not been standardized in anatomical sections or radiological images. We made 2,343 serially-sectioned images of a cadaver head with 0.

Technical report on semiautomatic segmentation using the Adobe Photoshop.

The purpose of this research is to enable users to semiautomatically segment the anatomical structures in magnetic resonance images (MRIs), computerized tomographs (CTs), and other medical images on a personal computer. The segmented images are used for making 3D images, which are helpful to medical education and research. To achieve this purpose, the following trials were performed.

Visible Korean human: improved serially sectioned images of the entire body.

The data from the Visible Human Project (VHP) and the Chinese Visible Human (CVH), which are the serially sectioned images of the entire cadaver, are being used to produce three-dimensional (3-D) images and software. The purpose of our research, the Visible Korean Human (VKH), is to produce an enhanced version of the serially sectioned images of an entire cadaver that can be used to upgrade the 3-D images and software. These improvements are achieved without drastically changing the methods developed for the VHP and CVH; thus, a complementary solution was found.