• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.433-436
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• 2003

In this paper, the efficient motion estimation and compensation method for 3 dimensional wavelet transform is proposed. Recently, since the compression performance and scalable functionality are provided by wavelet transform, many researches have been carried out for applying to the video compression. For the temporal filtering, motion estimation and compensation techniques are used, but the unconnected pixels, which are produced by motion compensation result into the degradation of coding performance and quality of the picture. For the efficient motion compensated temporal filtering by reducing the number of these unconnected pixels, we propose the variable block size motion estimation and compensation method. Also we propose a method that determines the block size using rate-distortion optimization technique according to the local characteristics of the frame. The simulation results show the improved performances than the MPEG-4 scalable coding methods and the 3 dimensional wavelet coding methods using fixed block size motion estimation and compensation.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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• pp.2088-2091
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• 2003

We presents a new algorithm for tracking person in video sequence that integrates the meanshift iteration procedure into the particle filtering. Utilizing the nice property of convergence to the modes in the meanshift iteration we show that only a few sample points are sufficient, while in general the particle filtering requires a large number of sample points. Multi-parts of a person is tracked independently of each other based on the color Then, the similarity against the reference model color and the geometric constraints between multi-parts are reflected as the sample weights. Also presented is the computer simulation results, which show successful tracking even for complex background clutter.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2016년도 춘계학술발표대회
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• pp.743-744
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• 2016

Object tracking in video sequences is a challenging task and has various applications. Particle filtering has been proven very successful for non-Gaussian and non-linear estimation problems. In this study, we first try to develop a color-based particle filter. In this approach, the color distributions of video frames are integrated into particle filtering. Color distributions are applied because of their robustness and computational efficiency. The model of the particle filter is defined by the color information of the tracked object. The model is compared with the current hypotheses of the particle filter using the Bhattacharyya coefficient. The proposed tracking method directly incorporates the scale and motion changes of the objects. Experimental results have been presented to show the effectiveness of our proposed system.

• 한국통신학회논문지
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• 제25권3B호
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• pp.510-518
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• 2000

A new video interpolation technique based on variable skip rate of video sequence is proposed in this paper. in the proposed technique. the determination whether a frame is skipped or not is done by the degree of motion complexity of the frame. If the motion complexity of a frame is low the frame is skipped. otherwise it is coded and transmitted. To determine the motion complexity of a frame a new technique using MEF (moving edge in frame),the set of pixels considered as moving edges in a frame. is introduced. In the course of decoding and interpolating of receiver., the motion field is segmented. For the purpose of dividing vector field morphological filtering is applied. Morphological filtering also used to smooth the boundaries between the changed and unchanged region. In the simulation results, the proposed technique shows higher quality and lower fluctuation of picture quality than the conventional techniques on conditioning of the same bit rate.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -1
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• pp.297-300
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• 2002

In this paper, we propose a post-processing method to reduce the blocking artifacts. We perform the post-processing only in the spatial domain so that it is readily applicable to real-time video decoder. Many approaches proposed so far for deblocking deal with only The luminance signal. but here we propose processing the chrominance signals as well since the low bit rare application where the blocking artifacts are most problematic suffers significantly from the color misalignment caused by blocking artifacts occurring to chrominance data as well. The proposed method is composed of low pass filtering in two steps considering the edge direction. The first step is the IIR low pass filtering in the diagonal direction, and the second step is another IIR low pass filtering in horizontal and vertical directions.

• 한국통신학회논문지
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• 제34권11B호
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• pp.1296-1302
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• 2009

본 논문에서는 MCTF와 표준 비디오 압축 도구를 이용하여 디지털 홀로그램을 효율적으로 부호화하는 방법을 제안한다. 홀로그램은 객체 영상과 깊이 정보를 바탕으로 하여 컴퓨터 생성 알고리즘으로부터 생성되었다. 제안한 알고리즘은 홀로그램을 분리하는 국부화 과정, $64\times64$ 크기의 세그먼트를 나누는 과정, 상관성을 유도하기 위한 DCT 과정, MCTF 과정, 압축을 위해 비디오 시퀀스를 만드는 과정, 그리고 H.264/AVC를 이용하여 압축하는 과정으로 구성된다. 제안한 알고리즘은 이전의 연구와 비교할 때 복원된 객체에 대해서 10%만큼 압축 효율이 향상되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권11호
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• pp.4170-4188
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• 2014

In this study, we present a denoising algorithm for high-frame-rate videos in an ultra-low illumination environment on the basis of Kalman filtering model and a new motion segmentation scheme. The Kalman filter removes temporal noise from signals by propagating error covariance statistics. Regarded as the process noise for imaging, motion is important in Kalman filtering. We propose a new motion estimation scheme that is suitable for serious noise. This scheme employs the small motion vector characteristic of high-frame-rate videos. Small changing patches are intentionally neglected because distinguishing details from large-scale noise is difficult and unimportant. Finally, a spatial bilateral filter is used to improve denoising capability in the motion area. Experiments are performed on videos with both synthetic and real noises. Results show that the proposed algorithm outperforms other state-of-the-art methods in both peak signal-to-noise ratio objective evaluation and visual quality.

• ETRI Journal
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• 제36권2호
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• pp.242-252
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• 2014

Since July of 2012, the 3D video extension of H.264/AVC has been under development to support the multi-view video plus depth format. In 3D video applications such as multi-view and free-view point applications, synthesized views are generated using coded texture video and coded depth video. Such synthesized views can be distorted by quantization noise and inaccuracy of 3D wrapping positions, thus it is important to improve their quality where possible. To achieve this, the relationship among the depth video, texture video, and synthesized view is investigated herein. Based on this investigation, an edge noise suppression filtering process to preserve the edges of the depth video and a method based on a total variation approach to maximum a posteriori probability estimates for reducing the quantization noise of the coded texture video. The experiment results show that the proposed methods improve the peak signal-to-noise ratio and visual quality of a synthesized view compared to a synthesized view without post processing methods.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 제14회 신호처리 합동 학술대회 논문집
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• pp.47-50
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• 2001

본 논문에서는 프레임 메모리를 줄이는 간이형 비디오 디코더의 다섯가지 알고리즘을 연구하여 성능을 비교한다. fixed-length ADPCM 기법을 적용하여 메모리를 줄이는 알고리즘과 수평 방향으로 decimation 하는 방법, 그리고 DCT 계수를 filtering 하는 방법을 구현하고 이보다 더 압축률을 높여서 수평 방향으로 decimation 하거나 DCT 계수를 filtering 하는 방법에 ADPCM 기법을 결합한다. 이렇게 함으로써 원래의 비디오 디코더 프레임 메모리의 25% 까지 메모리를 줄일 수가 있다. 메모리 크기를 줄이는 이점 이외에, 하나의 비디오 디코더 구조가 몇가지 압축 모드를 구성하므로 원하는 복잡도와 메모리 크기에 따라 응용이 자유롭다.

• 한국통신학회논문지
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• 제29권4C호
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• pp.505-513
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• 2004

블록기반의 하이브리드 부호화기는 비디오 신호의 압축방식으로 가장 널리 쓰이는 구조이지만 무선환경과 같은 저 비트율의 응용에 대해서는 양자화에 의한 고주파 성분의 손실로 인해 블록킹 현상이 두드러져 화질열화의 주된 원인으로 지적되고 있다. 블록킹 현상은 블록 경계에서 원영상에 없던 고주파 성분이 나타나는 현상이므로 경계주위에 저역통과 필터를 적용하면 제거할 수 있다. 그러나, 단순히 저역통과 필터를 적용하면 원영상에 존재하는 에지와 같은 고주파 성분도 제거되어 또 다른 화질열화 및 번짐 현상을 야기하게 된다. 본 논문에서는 이러한 현상에 대해 경계주변의 픽셀영역의 특성을 고려하여 모드를 정하고 각 모드에 따라 다른 필터를 적용하는 적응적 디블록킹 필터링 방법을 제안한다. 실험결과 기존의 MPEG-4에서 제시한 방법에 비해 객관적, 주관적 화질이 향상됨을 확인할 수 있다.