• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송공학회 1999년도 KOBA 방송기술 워크샵 KOBA Broadcasting Technology Workshop
• /
• pp.77-82
• /
• 1999

Information about camera operating such as zoom, focus, pan, tilt and tracking is useful not only for efficient video coding, but also for content-based video representation. A camera operating parameter measurement system designed specifically for these applications is therefore developed. This system, implemented in real time and synchronized with the video signal, measures the precise camera operating parameters. We calibrated the camera lens using a camera model that accounts for redial lens distortion. The system is then applied to infer image motion from pan and tilt operating parameters. The experimental results show that the inferred motion coincides with the actual motion very well, with an error of less than 0.5 pixel even for large motion up to 80 pixels.

• 한국정보과학회:학술대회논문집
• /
• 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(C)
• /
• pp.406-407
• /
• 2012

Texture transfer is a NPR technique for expressing various styles according to source (reference) image. By late 2000s, there are many texture transfer researches. But video base researchers are not active. Moreover, they didn't use important feature like directional information which need to express detail characteristics of target. So, we propose a new method to generate texture transfer animation (using video) with directional effect for maintaining temporal coherence and controlling coherence direction of texture. For maintaining temporal coherence, we use optical flow and confidence map to adapt for occlusion/disocclusion boundaries. And we control direction of texture for taking structure of input. For expressing various texture effects according to different regions, we calculate gradient based on directional weight. With these techniques, our algorithm can make animation result that maintain temporal coherence and express directional texture effect. It is reflect the characteristics of source and target image well. And our result can express various texture directions automatically.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송∙미디어공학회 2018년도 추계학술대회
• /
• pp.133-134
• /
• 2018

MPEG-NNR (Compressed Representation of Neural Networks) aims to define a compressed and interoperable representation of trained neural networks. In this paper, a compressed representation of NN and its evaluation performance along with use cases of image/video compression in MPEG-NNR are presented. In the compression of NN, a CNN to replace the in-loop filter in VVC (Versatile Video Coding) intra coding is compressed by applying uniform quantization to reduce the trained weights, and the compressed CNN is evaluated in terms of compression ratio and coding efficiency compared to the original CNN. Evaluation results show that CNN could be compressed to about quarter with negligible coding loss by applying simple quantization to the trained weights.

• International journal of advanced smart convergence
• /
• 제11권2호
• /
• pp.71-76
• /
• 2022

The continuous development of virtual reality technology in the last five years has brought about a big change in the future film industry. Interactive VR movies using virtual reality technology in movies showed the result of increasing the immersion of the audience due to the characteristics of interaction. This will provide a unique opportunity for a new experience of immersion in various forms of cinema in the near future. In this paper, the interaction of narrative VR movies was studied as an example of the movie , which won the [The Best VR Experience Award] at the Venice International Film Festival, In future development, improve the scene transition, Dizziness, Ways of interaction and other questions, let the audience increase the sense of participation, immersion and curiosity when watching movies, and make watching movies a more interesting thing in life.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2011년도 추계학술발표대회
• /
• pp.347-350
• /
• 2011

This paper propose a statistical color model of background extraction base on Hue-Saturation-Value(HSV) color space, instead of the traditional RGB space, and shows that it provides a better use of the color information. HSV color space corresponds closely to the human perception of color and it has revealed more accuracy to distinguish shadows [3] [4]. The key feature of this segmentation method is based on processing hue component of color in HSV color space on image area. The HSV color model is used, its color components are efficiently analyzed and treated separately so that the proposed algorithm can adapt to different environmental illumination condition and shadows. Polar and linear statistical operations are used to calculate the background from the video frames. The experimental results show that the proposed background subtraction method can automatically segment video objects robustly and accurately in various illuminating and shadow environments.

• International Journal of Internet, Broadcasting and Communication
• /
• 제15권2호
• /
• pp.31-38
• /
• 2023

This paper introduces a real-time face swapping system that enables video influencers to swap their faces with arbitrary generated face images of their choice. The system is implemented as a Django-based server that uses a REST request to communicate with the generative model,specifically the pretrained stable diffusion model. Once generated, the generated image is displayed on the front page so that the influencer can decide whether to use the generated face or not, by clicking on the accept button on the front page. If they choose to use it, both their face and the generated face are sent to the landmark extraction module to extract the landmarks, which are then used to swap the faces. To minimize the fluctuation of landmarks over time that can cause instability or jitter in the output, a temporal filtering step is added. Furthermore, to increase the processing speed the system works on a reduced set of the extracted landmarks.

• 헤리티지:역사와 과학
• /
• 제42권3호
• /
• pp.88-104
• /
• 2009

영상매체의 변화는 사회의 변화와 밀접한 관련을 갖는다. 지난 20세기의 대표적인 영상이 사진이라면 우리가 살아가고 있는 21세기의 대표적인 영상은 동영상이다. 영상매체의 변화는 고고학 기록 수단의 변화를 가져왔다. 현장조사를 통해 물질적 자료를 획득하는 고고학의 특징으로 볼 때 신뢰성 있는 자료를 획득할 수 있는 동영상의 활용은 앞으로 더욱 늘어날 것으로 보인다. 고고학의 발굴과정은 하나의 콘텐츠로 볼 수 있다. 이 뿐만 아니라 유적이나 유구의 입지적 환경, 불가피한 개발로 인한 경관 보존의 기록 수단으로서 혹은 인류의 기록 유산으로서 영상은 탁월한 효용성과 가치를 지니고 있다. 그리고 영상은 고고학이 지닌 사회적 학문적 기능을 충실히 하기 위한 대중고고학으로의 전환에 있어서 새로운 접근 방안이 될 수 있을 것이다. 이러한 점들을 고려한다면 고고학에서 시각자료의 기록과 보존을 위한 연구는 필수적이라고 할 수 있으며 이에 대한 대비가 있어야 할 것이다. 그 적극적인 대안으로 영상고고학을 제창한다. 영상고고학은 고고학의 관점에서 연구되어야 한다. 영상고고학의 연구 방향은 크게 두 가지로 압축할 수 있다. 첫째는 조사과정의 영상기록과 영상아카이브(기록관리)에 관한 연구이다. 둘째는 커뮤니케이션 수단인 미디어로서의 연구이다. 보다 구체적이고 체계적인 연구는 고고학 이론과 방법의 영역에서 심도 있게 다뤄져야 할 것이다.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
• /
• pp.3306-3311
• /
• 2011

Last Subway video surveillance system consists of a network device that is used. Through the network to transmit video data to digital conversion of analog video via a process server or a PC video to a split-screen in various forms is expressed. In recent years, multi-monitor video cameras from the same pop-up or more, such as history, structure expressed on a variety of video is required by express. The problem with these systems, video compression and transmission of many cameras, and this image data received from the server or PC to take out all the images you want to watch to occur when in order to express all of the images because of the need to decode most of the program per limit of number of channels is positioned. This limited number of channels to have a video that nothing forced, but it is likely to do so in the future performance of the hardware evolves gradually channeled images available number of channels will increase proportionately. However, as the development of hardware required for a single screen video channel will be more gradual capital. The hardware rather than relying solely on the performance of the decoded video data on the screen in order to express a more efficient utilization of shared memory for video surveillance software will provide the operating plan.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제5권3호
• /
• pp.592-606
• /
• 2011

Currently, the development of multimedia communication has progressed so rapidly that the video program service has become a requirement for ordinary customers. The quality of experience (QoE) for the visual signal is of the fundamental importance for numerous image and video processing applications, where the goal of video quality assessment (VQA) is to automatically measure the quality of the visual signal in agreement with the human judgment of the video quality. Considering the codec effect to the video quality, in this paper an efficient non-reference (NR) VQA algorithm is proposed which estimates the video quality (VQ) only by utilizing the distorted video signal at the destination. The VQA feature vectors (FVs) which have high relationships with the subjective quality of the distorted video are investigated, and a hybrid NR VQA (HNRVQA) function is established by considering the multiple FVs. The simulation results, testing on the SDTV programming provided by VCEG Phase I, show that the proposed algorithm can represent the VQ accurately, and it can be used to replace the subjective VQA to measure the quality of the video signal automatically at the destinations.

• 대한의용생체공학회:의공학회지
• /
• 제8권2호
• /
• pp.118-122
• /
• 1987

The medical image processing system is intended for a diverse set of users in the medical Imaging Parts. This system consists of a 640 Kbyte IBM-PC/AT with 30 Mbyte hard disk, special purpose image processor with video input devices and display monitor. Image may be recorded and processed in real time at sampling rate up to 10 MHz. This system provides a wide range of image enhancement processing facilities via a menu-driven software packages. These facilities include point by point processing, image averaging, convolution filter and subtraction.