• Journal of Korea Society of Digital Industry and Information Management
• /
• v.7 no.2
• /
• pp.91-100
• /
• 2011

Free viewpoint TV can provide multi-angle view point images for viewer needs. In the real world, But all angle view point images can not be captured by camera. Only a few any angle view point images are captured by each camera. Group of the captured images is called multi-view image. Therefore free viewpoint TV wants to production of virtual sub angle view point images form captured any angle view point images. Interpolation methods are known of this problem general solution. To product interpolated view point image of correct angle need to depth image of multi-view image. Unfortunately, multi-view video including depth image is necessary to develop a new compression encoding technique for storage and transmission because of a huge amount of data. Layered depth image is an efficient representation method of multi-view video data. This method makes a data structure that is synthesis of multi-view color and depth image. This paper proposed enhanced compression method using layered depth image representation and H.264/AVC video coding technology. In experimental results, confirmed high compression performance and good quality reconstructed image.

• Journal of Satellite, Information and Communications
• /
• v.7 no.3
• /
• pp.140-144
• /
• 2012

The classic method of recording and retrieving of images for video monitoring was very inefficient since the system required huge storage capacity. It's because it stored images without separating background and monitored objects. The recording and retrieval method of images for the video monitoring system we proposed in this paper makes it possible to retrieve images easily by using database by the hour and the place. Hence, it retrieve images much more efficiently than the existing method.

• Journal of the Korean Society of Costume
• /
• v.54 no.3
• /
• pp.27-42
• /
• 2004

Music videos provide for many others images, alluring the audience to fall in another emotional world, while the sexual images shown in them suggest new images of man and woman. Today, men's images are being interpreted from various viewpoints. As interests in men's fashion are visualized through music video clothing, not only juveniles who want to be identified with the music video images but also adults try to imitate them, and proceed to wear the clothing, obliterating the boundary between 'reality' and 'illusion' and creating new images of men. This study is aimed at reviewing the male images shown in the music videos, particular their clothing, produced between 2000 and 2002. The results of this study could be summarized as follows : 1. Since beginning of the human history, men's image has been characterized by patriarchal system, capitalism, bourgeois class which emerged after industrial revolution and other man-dominant socio-cultural phenomena, such male image are shown in the music video as conservative and dominant image. 2. However, due to the post-modern culture, the power began to be decentralized. while feminism and men's liberation movement gain strength. As a result, women or heterosexuals began to regard men as sexual objects, and such a phenomenon is featured as sexual, bisexual or decadent images in the music videos. 3. On the threshold of the 21st century, music videos have begun to creatively describe men's life, their social conflicts, dreams and hopes and death and thereby. feature men's such images as being destroyed in view of existentialism. The numerous creative men's images interpreted in this way are featured in many music video works only to create playful, cyborg or demonic images using the senses. After all, men's images are featured in the music video costumes in diverse ways ranging from the conventional images to acquiescent images. In addition, various male images are combined with the characteristics of the music videos to be re-created anew. The young men in the our modern age tend to imitate or apply such images to create their own images or individualistic styles. All in all, men's image can be fixed no longer but diversified and fragmented in the new age.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.930-932
• /
• 2003

For this study we used a CCD video camera to capture the pavement image information via the computer. During investigation processing, the CCD video camera captured 10${\sim}$30 images per second. If the vehicle velocity is too fast, the collected images will be duplicated and if the velocity is too slow there will be a gapped between images. Therefore, in order to control the efficiency of the image grabber we should add accessory tools such as the Differential Global Positioning System (DGPS) and odometer. Furthermore, Kalman Filtering can also solve these problems. After the CCD video camera captured the pavement images, we used the Least-Squares method to eliminate images of gradation which have non-uniform surfaces due to the illumination at night. The Fuzzy Entropy method calculates images of threshold segments and creates binary images. Finally, the Object Labeling algorithm finds objects that are cracks or noises from the binary image based on volume pixels of the object. We used these algorithms and tested them, also providing some discussion and suggestions.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.1
• /
• pp.99-105
• /
• 2024

Runway released an updated version, Gen-2, in March 2023, which introduced new features that are different from Gen-1: it can convert text and images into videos, or convert text and images together into video images based on text instructions. This update will be officially open to the public in June 2023, so more people can enjoy and use their creativity. With this new feature, users can easily transform text and images into impressive video creations. However, as with all new technologies, comes the instability of AI, which also affects the results generated by Runway. This article verifies the feasibility of using Runway to generate the desired video from several aspects through personal practice. In practice, I discovered Runway generation problems and propose improvement methods to find ways to improve the accuracy of Runway generation. And found that although the instability of AI is a factor that needs attention, through careful adjustment and testing, users can still make full use of this feature and create stunning video works. This update marks the beginning of a more innovative and diverse future for the digital creative field.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2008.11a
• /
• pp.163-164
• /
• 2008

• ETRI Journal
• /
• v.37 no.4
• /
• pp.743-751
• /
• 2015

Cloud gaming services are heavily dependent on the efficiency of real-time video streaming technology owing to the limited bandwidths of wire or wireless networks through which consecutive frame images are delivered to gamers. Video compression algorithms typically take advantage of similarities among video frame images or in a single video frame image. This paper presents a method for computing and extracting both graphics information and an object's boundary from consecutive frame images of a game application. The method will allow video compression algorithms to determine the positions and sizes of similar image blocks, which in turn, will help achieve better video compression ratios. The proposed method can be easily implemented using function call interception, a programmable graphics pipeline, and off-screen rendering. It is implemented using the most widely used Direct3D API and applied to a well-known sample application to verify its feasibility and analyze its performance. The proposed method computes various kinds of graphics information with minimal overhead.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.9
• /
• pp.4527-4548
• /
• 2017

This paper proposes a method to generate panoramic images by combining conventional feature extraction algorithms (e.g., SIFT, SURF, MPEG-7 CDVS) with sensed data from inertia sensors to enhance the stitching results. The challenge of image stitching increases when the images are taken from two different mobile phones with no posture calibration. Using inertia sensor data obtained by the mobile phone, images with different yaw, pitch, and roll angles are preprocessed and adjusted before performing stitching process. Performance of stitching (e.g., feature extraction time, inlier point numbers, stitching accuracy) between conventional feature extraction algorithms is reported along with the stitching performance with/without using the inertia sensor data. In addition, the stitching accuracy of video data was improved using the same sensed data, with discrete calculation of homograph matrix. The experimental results for stitching accuracies and speed using sensed data are presented in this paper.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.49 no.1
• /
• pp.49-57
• /
• 2012

An image reconstruction algorithm is proposed to estimate transmitted original images from images displayed on a video terminal. The proposed algorithm acquires images that are displayed on video terminal screens by using a camera. The transmitted images are then estimated with the acquired images. However, camera-acquired images exhibit geometric and color distortions caused by characteristics of the camera and display devices. We make use of a geometric distortion correction algorithm that exploits homography and color distortions using a weighted-linear model. The experimental results show that the proposed algorithm yields promising estimation performance with respect to the peak signal-to-noise ratio (PSNR). PSNR values of the estimated images with respect to the corresponding original images range from 28-29 dB.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 1996.06b
• /
• pp.77-81
• /
• 1996

In order to conform to the needs of effective program production in multimedia era, we are studying Desk Top Program Production system. With the DTPP, users can easily produce multimedia program including video, sound, and ancillary data, and freely handle video images synthesizing video components retrieved from video database. This paper describes the new program production system, DTPP and its key technologies such as cooperative program production via multimedia network, indexing and utilization of attribute information of images, and image segmentation and spatio-temporal editing.