• Title/Summary/Keyword: compressed domain stitching

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A Real-Time Video Stitching Algorithm in H.264/AVC Compressed Domain (실시간 H.264/AVC 압축 영역에서의 영상 합성 알고리즘)

  • Gankhuyag, Ganzorig;Hong, Eun Gi;Kim, Giyeol;Kim, Younghwan;Choe, Yoonsik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.6
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    • pp.503-511
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    • 2014
  • In this paper, a novel, real-time video stitching algorithm in an H.264/AVC compressed domain is proposed. This enables viewers to watch multiple video contents using a single device. The basic concept of this paper is that the server is asked to combine multiple streams into one bit-stream based in a compressed domain. In other words, this paper presents a new compressed domain combiner that works in boundary macroblocks of input videos with re-calculating intra prediction mode, intra prediction MVD, a re-allocation of the coefficient table, and border extension methods. The rest of the macroblocks of the input video data are achieved simply by copying them. Simulation experiments have demonstrated the possibility and effectiveness of the proposed algorithm by showing that it is able to generate more than 103 frames per second, stitching four 480p-sized images into each frame.

2D Adjacency Matrix Generation using DCT for UWV contents

  • Li, Xiaorui;Lee, Euisang;Kang, Dongjin;Kim, Kyuheon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.11a
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    • pp.39-42
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    • 2016
  • Since a display device such as TV or signage is getting larger, the types of media is getting changed into wider view one such as UHD, panoramic and jigsaw-like media. Especially, panoramic and jigsaw-like media is realized by stitching video clips, which are captured by different camera or devices. In order to stich those video clips, it is required to find out 2D Adjacency Matrix, which tells spatial relationships among those video clips. Discrete Cosine Transform (DCT), which is used as a compression transform method, can convert the each frame of video source from the spatial domain (2D) into frequency domain. Based on the aforementioned compressed features, 2D adjacency Matrix of images could be found that we can efficiently make the spatial map of the images by using DCT. This paper proposes a new method of generating 2D adjacency matrix by using DCT for producing a panoramic and jigsaw-like media through various individual video clips.

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