• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.765-768
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• 2014

스마트폰, 스마트TV, 구글 크롬캐스트 등 스마트 미디어의 발달로 인해 정보와 사용자간의 상호작용의 중요성이 강조되고 있고 사용자들은 자신이 원하는 정보를 다른 단계를 거치지 않고 쉽고 빠르게 얻기 위한 요구사항이 증가하고 있다. 그러나 아직 여러 분야에서 사용자의 요구사항에 대한 해결책이 매우 부족하다. 본 논문에서는 요리분야의 요리비디오에서 이러한 문제점을 발견하여 이를 개선하기 위한 방안을 살펴보았다. 요리비디오는 단방향으로 정보를 제공하기 때문에 사용자가 요구하는 정보를 얻기 위해서는 웹 검색과 같은 별도의 과정이 필요하고, 또한 요리를 하는데 있어 불편함을 겪어야 한다. 이러한 불편함을 해소하기 위하여 요리 비디오에서 사용자가 원하는 장면에 정확한 정보를 제공하고 요리를 하면서 효율적으로 인터랙션을 하기 위한 시스템을 구현하였다. 시스템 평가를 위해 HCI분야의 연구에서 제안되어 많은 논문들이 평가 척도로 사용하는 사용자 설문방식을 기반으로 시스템을 평가하기 위한 실험을 통해 시스템 인터페이스, 전체 시스템의 만족도, 정보의 정확성에서 좋은 결과를 얻었다.

• Journal of KIISE:Software and Applications
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• v.28 no.5
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• pp.389-401
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• 2001

This paper proposes an abstraction mechanism of the low-level digital video features for the automatic retrievals of the explosion scenes from the digital video library. In the proposed abstraction mechanism, the regional dominant colors of the key frame and the motion energy of the shot are defined as the primary abstractions of the shot for the explosion scene retrievals. It is because an explosion shot usually consists of the frames with a yellow-tone pixel and the objects in the shot are moved rapidly. The regional dominant colors of shot are selected by dividing its key frame image into several regions and extracting their regional dominant colors, and the motion energy of the shot is defined as the edge image differences between key frame and its neighboring frame. The edge image of the key frame makes the retrieval of the explosion scene more precisely, because the flames usually veils all other objects in the shot so that the edge image of the key frame comes to be simple enough in the explosion shot. The proposed automatic retrieval algorithm declares an explosion scene if it has a shot with a yellow regional dominant color and its motion energy is several times higher than the average motion energy of the shots in that scene. The edge image of the key frame is also used to filter out the false detection. Upon the extensive exporimental results, we could argue that the recall and precision of the proposed abstraction and detecting algorithm are about 0.8, and also found that they are not sensitive to the thresholds. This abstraction mechanism could be used to summarize the long action videos, and extract a high level semantic information from digital video archive.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.9B
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• pp.1713-1720
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• 1999

This paper presents a new key frame extraction technique, for scene change detection, using the proposed AHIM (Accumulative Histogram Intersection Measure) from the DC image constructed by DCT DC coefficients in the compressed video sequence that is video compression standard such as MPEG. For fast content-based browsing and video retrieval in a video database, we also provide a novel coarse-to-fine video indexing scheme. In the extracted key frame, we perform the region segmentation as a preprocessing. First, the segmented image is projected with the horizontal direction, then we transform the result into a histogram, which is saved as a database index. In the second step, we calculate the moments and change them into a distance value. From the simulation results, the proposed method clearly shows the validity and superiority in respect of computation time and memory space, and that in conjunction with other techniques for indexing, such as color, can provide a powerful framework for image indexing and retrieval.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.12
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• pp.673-681
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• 2004

As the use of digital videos is getting popular, there is an increasing demand for efficient browsing and retrieval of video. To support such operations, effective video indexing should be incorporated. One of the most fundamental steps in video indexing is to parse video stream into shots and scenes. Generally, it takes long time to parse a video due to the huge amount of computation in a traditional single computing environment. Previous studies had widely used Round Robin scheduling which basically allocates tasks to each slave for a time interval of one quantum. This scheduling is difficult to adapt in a heterogeneous environment. In this paper, we propose two different parallel parsing algorithms which are Size-Adaptive Round Robin and Dynamic Size-Adaptive Round Robin for the heterogeneous distributed computing environments. In order to show their performance, we perform several experiments and show some of the results.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.1
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• pp.28-33
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• 2003

This paper proposes a database index and retrieval method using the PCA(Principal Component Analysis). We perform a scene change detection and key frame extraction from the DC Image constructed by DCT DC coefficients in the compressed video stream that is video compression standard such as MPEG. In the extracted key frame, we use the PCA, then we can make codebook that has a statistical data as a codeword, which is saved as a database index. We also provide retrieval image that are similar to user's query image in a video database. As a result of experiments, we confirmed that the proposed method clearly showed superior performance in video retrieval and reduced computation time and memory space.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1998.11a
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• pp.525-528
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• 1998

본 논문은 현재 표준화 작업이 진행되고 있는 MS사의 M-JPEG을 이용하여 녹화 및 재생이 가능한 감시 시스템의 구현에 대해 설명한다. 기존 아날로그 감시 시스템의 단점인 여러번 재생시 화질 저하와 카메라에 비디오를 연결해야 하는 비효율성을 극복하기 위해 개발된 이 시스템은 사용자들에게 최대의 감시 효율을 제공할 수 있다. 이 무인 감시 시스템은 디지털 기술을 활용하여 모든 화상 처리와 화면 전환을 컴퓨터로 처리함으로서 여러 가지 다양한 모드의 감시환경을 제공하고 뛰어난 화면 capture기능으로 선명한 화질을 제공하여 감시 효과를 극대화시킬 수 있고 원하는 장면을 찾기 위한 검색 기능을 제공함으로서 사용자들에게 편리함을 제공할 수 있다. 본 시스템 구현에 사용된 H/W는 펜티엄-II 333과 카메라 16대 그리고 스위치 보드, MPEG capture 보드를 사용했으며 구동 S/W는 Visual C++로 제작하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.199-201
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• 2002

사용자가 원하는 멀티미디어 콘텐츠를 원하는 시간에 TV를 통해서 볼 수 있게 된다면, 즉, 보고 싶을때 보고 싶은 방송을 포함한 멀티미디어 콘덴츠를 원하는 시간에 볼 수 있게 된다면 사용자는 방송시간에 맞추어 TV를 보지 않아도 되고 원하는 콘텐츠를 검색하느라 시간을 보낼 필요도 없어질 것이다. 이러한 서비스는 바로 디지털 콘텐츠와 이를 가정에서 저장할 수 있는 장치의 발달이 바탕이 되고 있다. 본 논문에서는 멀티미디어 콘텐츠에 대해서 이러한 서비스를 제공할 수 있도록 메타데이터 색인 기법 및 사용자가 원하는 장면 및 비디오를 브라우징 할 수 있는 시스템의 구현에 대해서 기술한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.2 s.308
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• pp.57-64
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• 2006

Tn this paper, We propose a user friendly object-based multimedia retrieval system using the HCNN(HippoCampus Neural Network. Most existing approaches to content-based retrieval rely on query by example or user based low-level features such as color, shape, texture. In this paper we perform a scene change detection and key frame extraction for the compressed video stream that is video compression standard such as MPEG. We propose a method for automatic color object extraction and ACE(Adaptive Circular filter and Edge) of content-based multimedia retrieval system. And we compose multimedia retrieval system after learned by the HCNN such extracted features. Proposed HCNN makes an adaptive real-time content-based multimedia retrieval system using excitatory teaming method that forwards important features to long-term memories and inhibitory learning method that forwards unimportant features to short-term memories controlled by impression.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.91-96
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• 2010

Concentric mosaics are made with arranging and summing of video frames by using common spacial standards. Compared with previous works on 3-D wavelet transform coding, we have made important design considerations to enable flexible partial decoding and bit-stream random access. A just-in-time(JIT) rendering engine of the compressed concentric mosaic is developed. However, computationally, it is still demanding to accomplish the real-time rendering. Only the contents for specific scene representation are need to be decoded by maintaining compressed data. Thus our proposed algorithm is able to render real concentric mosaic by using lifting scheme instead of wavelet transform.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.4
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• pp.758-766
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• 2003

This paper proposes a tree-based hierarchical image mosaicing system using camera and object parameters for efficient video database construction. Gray level histogram difference and average intensity difference are proposed for scene change detection of input video. Camera parameter measured by utilizing least sum of square difference and affine model, and difference image is used for similarity measure of two input images. Also, dynamic objects are searched by through macro block setting and extracted by using region splitting and 4-split detection methods. Dynamic trajectory evaluation function is used for expression of dynamic objects, and blurring is performed for construction of soft and slow mosaic image.