• Journal of Broadcast Engineering
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• v.14 no.1
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• pp.59-69
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• 2009

A bi-directional symmetric prediction technique has been developed to improve coding efficiency of B-slice and to reduce the computational complexity required to estimate two motion vectors. On the contrary to the conventional bi-directional mode which encodes both forward and backward motion vectors, it only encodes a single forward motion vector, and the missing backward motion vector is derived in a symmetric way from the forward motion vector using temporal distance between forward/backward reference frames to and from the current B picture. Since the backward motion vector is derived from the forward motion vector, it can halve the computational complexity for motion estimation, and also reduces motion vector data to encode. This technique always derives the backward motion vector from the forward motion vector, however, there are cases when the forward motion vector is better to be derived from the backward motion vector especially in scene changes. In this paper, we generalize the idea of the symmetric coding with forward motion vector coding, and propose a new symmetric coding with backward motion vector coding and adaptive selection between the conventional symmetric mode and the proposed symmetric mode based on rate-distortion optimization.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.10C
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• pp.1036-1043
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• 2005

In this paper, we propose a sequential motion vector recovery algorithm for H.264 video coding standard. Motion vectors of H.264 video coding standard cover relatively smaller areas than other standard, since motion estimation of H.264 takes place in the fashion of variable block size. Therefore, the correlation of motion vectors between neighboring blocks increases as the block size of motion estimation is lowered. Under the framework of sequential recovery, we introduce a motion vector recovery using $\alpha$-trimed mean filter. Experimental results show that proposed algorithm is useful in real time video delivery .with nearly comparable or better visual quality than previous approaches such as macro block boundary matching and Lagrage interpolation.

• Journal of Broadcast Engineering
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• v.8 no.3
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• pp.288-296
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• 2003

ATSC (Advanced Television System Committee) has specified 18 video formats for DTV (Digital Television), e.g., scan format, size format, and frame rate format conversion. Effective MPEG-2 video transcoders should support any conversion between the above-mentioned formats. Scan format conversion Is hard to Implement because it may often induce frame rate and size format conversion together. Especially. because of picture type conversion caused by scan format conversion, the computational burden of motion estimation (ME) in transcoding becomes serious. This paper proposes a fast ME algorithm for MPEG-2 video transcoding supporting scan format conversion. Firstly, we extract and compose a set of candidate motion vectors (MVs) from the input bit-stream to comply with the re-encoding format. Secondly, the best MV is chosen among several candidate MVs by using a weighted median selector. Simulation results show that the proposed ME algorithm provides outstanding PSNR performance close to full search ME, while reducing the transcoding complexity significantly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.734-740
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• 2017

A frame rate up-conversion scheme is needed when moving pictures with a low frame rate is played on appliances with a high frame rate. Frame rate up-conversion methods interpolate the frame with two consecutive frames of the original source. This can be divided into the frame repetition method and motion estimation-based the frame interpolation one. Frame repetition has very low complexity, but it can yield jerky artifacts. The interpolation method based on a motion estimation and compensation can be divided into pixel or block interpolation methods. In the case of pixel interpolation, the interpolated frame was classified into four areas, which were interpolated using different methods. The block interpolation method has relatively low complexity, but it can yield blocking artifacts. The proposed method is the frame rate up-conversion method based on a block motion estimation and compensation using the linearity of motion. This method uses two previous frames and one next frame for motion estimation and compensation. The simulation results show that the proposed algorithm effectively enhances the objective quality, particularly in a high resolution image. In addition, the proposed method has similar or higher subjective quality than other conventional approaches.

• Journal of Korea Multimedia Society
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• v.15 no.8
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• pp.996-1003
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• 2012

We present a nearby vehicle detection method in the adjacent lane using in-vehicle front view camera. Nearby vehicles in adjacent lanes show various appearances according to their relative positions to the host vehicle. Therefore, most conventional methods use motion information for detecting nearby vehicles in adjacent lanes. However, these methods can only detect overtaking vehicles which have faster speed than the host vehicle. To solve this problem, we use the feature of regions where nearby vehicle can appear. Consequently, our method cannot only detect nearby overtaking vehicles but also stationary and same speed vehicles in adjacent lanes. In our experiment, we validated our method through various whether, road conditions and real-time implementation.

• Journal of Advanced Navigation Technology
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• v.14 no.2
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• pp.284-288
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• 2010

Video surveillance is widely used in establishing the societal security network. In this paper, intrusion detection based on visual information acquired by static camera is proposed. Proposed approach uses background model constructed by approximated median filter(AMF) to find a foreground candidate, and detected object is calculated by analyzing motion information. Motion detection is determined by the relative size of 2D object in RGB space, finally, the threshold value for detecting object is determined by heuristic method. Experimental results showed that the performance of intrusion detection is better one when the spatio-temporal candidate informations change abruptly.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.06a
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• pp.188-189
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• 2017

점진적 움직임 기반 구조(Incremental Structure from Motion)는 다양한 시점에서 촬영한 영상들을 하나 씩 점진적으로 추가하여 3차원 장면을 복원하는 방법이다. 3차원 구조 복원에 사용되는 영상 켤레들 중에는 불필요한 켤레들도 충분히 포함되어 있으므로 복원된 구조의 불안정성과 불필요한 영상 켤레 처리로 인한 성능 손실이 발생할 수 있다. 이 논문은 상대적으로 불필요한 영상 켤레를 입력 영상 집합에 맞게 적응적으로 제거하는 방법을 제안한다. 대응점 탐색 단계에서 기하학적 검증작업 전후로 총 두 번의 영상 켤레 제거가 실행되며, 통계적인 방법 및 기하학적으로 검증된 대응점 비율을 이용하여 문턱치를 결정한다. 실험 결과 3차원 복원 결과에 지장을 주지 않으면서 복원에 필요한 영상 켤레 개수를 효과적으로 줄일 수 있었다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2004.11a
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• pp.65-70
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• 2004

본 논문에서는 화면간 상관성을 이용한 최적의 비트 할당 알고리즘을 제안한다 제안된 알고리즘은 기존의 Q2 비트율 제어 알고리즘을 기반으로 하며, 인트라(Intra) 화면에 대한 비트할당과 인터(Inter) 화면에 대한 비트 할당으로 구성된다. 일반적으로 비디오 시퀀스(Sequence)의 각 화면들은 서로 많은 상관성을 가지고 있다. 본 논문에서는 이러한 점을 고려하여, 다른 화면들의 화질에 상대적으로 더 많은 영향을 미칠 수 있는 중요한 화면을 선택하고, 선택된 화면들은 각각의 중요도에 따라 더 많은 비트가 할당되어 화질이 향상된다. 선택된 화면의 화질 향상은 이 화면으로부터 움직임 예측과 움직임 보상을 하는 다른 화면의 화질까지도 향상시킨다. 본 논문에서 제안된 방법은 MPEG-4비디오를 비롯하여 최근에 만들어진 H.264/AVC 부호화 표준에서도 좋은 결과를 보였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10c
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• pp.157-159
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• 2003

본 논문에서는 화상 통화를 위한 비디오 인코딩에서 화자의 얼굴 화질을 강화하여 인코딩 할 수 있는 동영상 인코딩 방법을 제안한다. 제안한 인코딩 방법에서는 이미지의 Cr 데이터 및 움직임벡터 정보를 이용하여 빠르게 화자 얼굴 영역을 검출하고, 이 영역에 대하여 선택적인 양자화를 통하여 상대적으로 많은 비트량을 할당하여 화자의 얼굴 화질을 상대적으로 강화한다. 이 방법을 H.263 인코더에 적용하는 경우 전체적으로 이런 방법을 적용하지 않았을 때와 비교하여 18% 정도의 추가적인 CPU 오버헤드가 필요하였지만, 얼굴 영역에 대하여서는 PSNR 3dB 정도의 화질이 개선될 수 있음을 실험을 통하여 증명하였다.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.3
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• pp.120-126
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• 2005

This paper presents the 3D wavelet based video compression system using quad-tree algorithm. The 3D wavelet based video compression system removes the temporal correlation of the input sequences using the motion compensation filter and decomposes the spatio-temporal subband using the spatial wavelet transform. The proposed system allocates the higher bit rate to the low frequency image of the 3D wavelet sequences and improves the 0.64dB PSNR performance of the reconstructed image in comparison with that of H.263. In addition to the limitation on the propagation of the motion compensation error by the 3D wavelet transform, the proposed system progressively transmits the input sequence according to the resolution and rate scalability.