• Title/Summary/Keyword: Background Area

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Color Image Coding Based on Shape-Adaptive All Phase Biorthogonal Transform

  • Wang, Xiaoyan;Wang, Chengyou;Zhou, Xiao;Yang, Zhiqiang
    • Journal of Information Processing Systems
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    • v.13 no.1
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    • pp.114-127
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    • 2017
  • This paper proposes a color image coding algorithm based on shape-adaptive all phase biorthogonal transform (SA-APBT). This algorithm is implemented through four procedures: color space conversion, image segmentation, shape coding, and texture coding. Region-of-interest (ROI) and background area are obtained by image segmentation. Shape coding uses chain code. The texture coding of the ROI is prior to the background area. SA-APBT and uniform quantization are adopted in texture coding. Compared with the color image coding algorithm based on shape-adaptive discrete cosine transform (SA-DCT) at the same bit rates, experimental results on test color images reveal that the objective quality and subjective effects of the reconstructed images using the proposed algorithm are better, especially at low bit rates. Moreover, the complexity of the proposed algorithm is reduced because of uniform quantization.

Hand Segmentation Using Depth Information and Adaptive Threshold by Histogram Analysis with color Clustering

  • Fayya, Rabia;Rhee, Eun Joo
    • Journal of Korea Multimedia Society
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    • v.17 no.5
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    • pp.547-555
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    • 2014
  • This paper presents a method for hand segmentation using depth information, and adaptive threshold by means of histogram analysis and color clustering in HSV color model. We consider hand area as a nearer object to the camera than background on depth information. And the threshold of hand color is adaptively determined by clustering using the matching of color values on the input image with one of the regions of hue histogram. Experimental results demonstrate 95% accuracy rate. Thus, we confirmed that the proposed method is effective for hand segmentation in variations of hand color, scale, rotation, pose, different lightning conditions and any colored background.

Seamless Image Blending based on Multiple TIP models (다수 시점의 TIP 영상기반렌더링)

  • Roh, Chang-Hyun
    • Journal of Korea Game Society
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    • v.3 no.2
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    • pp.30-34
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    • 2003
  • Image-based rendering is an approach to generate realistic images in real-time without modeling explicit 3D geometry, Especially, TIP(Tour Into the Picture) is preferred for its simplicity in constructing 3D background scene. However, TP has a limitation that a viewpoint cannot go far from the origin of the TIP for the lack of geometrical information. in this paper, we propose a method to interpolating the TIP images to generate smooth and realistic navigation. We construct multiple TIP models in a wide area of the virtual environment. Then we interpolate foreground objects and background object respectively to generate smooth navigation results.

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Panoramic Video Generation Method Based on Foreground Extraction (전경 추출에 기반한 파노라마 비디오 생성 기법)

  • Kim, Sang-Hwan;Kim, Chang-Su
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.2
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    • pp.441-445
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    • 2011
  • In this paper, we propose an algorithm for generating panoramic videos using fixed multiple cameras. We estimate a background image from each camera. Then we calculate perspective relationships between images using extracted feature points. To eliminate stitching errors due to different image depths, we process background images and foreground images separately in the overlap regions between adjacent cameras by projecting regions of foreground images selectively. The proposed algorithm can be used to enhance the efficiency and convenience of wide-area surveillance systems.

Automatic Video Chromakeying Generation Technology Using Background Modeling (배경 모델링을 이용한 비디오 크로마키 생성기법)

  • Yoo, Gil-Sang
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.1-8
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    • 2021
  • In online meetings and classes using webcams, the chromakey technique is a very necessary part to produce content. We proposed a technology that enables background synthesis without using a cloth for chromakey. The proposed method consists of three steps: an HSI image conversion step, a step of detecting a region changed from a background, and a step of replacing the background region with a chromakey and applying it. In the input video, the block average image of each frame is calculated, and the difference between the block average image of the background image and the block average image of the input image is used to detect the change area. The developed chromakey effect technology uses a technique of acquiring a background image without an object from a single camera and extracting only an object by distinguishing the moving object and the background. The proposed method is not only capable of processing even if the background has a variety of colors, but also has the seamless processing of the boundary lines of objects.