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Hybrid Image Mosaic Construction Using the Hierarchical Method

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Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3982))

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Abstract

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 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.

This research was supported by the Program for the Training of Graduate Students in Regional Innovation which was conducted by the Ministry of Commerce, Industry and Energy of the Korean Government.

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References

  1. Szelisk, R., Shum, H.: Creating Full View Panoramic Image Mosaics and Environment Maps. In: Proc. of SIGGRAPH, pp. 251–258 (1997)

    Google Scholar 

  2. Feng, S., Lu, H., Ma, S.: Mosaic representations of video sequences based on slice image analysis. Pattern Recognition Letters 23(5), 513–521 (2002)

    Article  MATH  Google Scholar 

  3. McLauchlan, P.F., Jaenicke, A.: Image mosaicing using sequential bundle adjusment. Image and Vision Computing 20(9), 751–759 (2002)

    Article  Google Scholar 

  4. Xiong, Y., Turkowski, K.: Creating Image-Based VR Using A Selfcalibrating Fisheye Lens. In: Proc. CVPR 1997, pp. 237–243 (1997)

    Google Scholar 

  5. Krey, ß.J., Roper, M., Alshuth, P., Hermes, T., Herzog, O.: Video Retrieval by Still-Image Analysis with ImageMiner. In: SPIE, pp. 36–44 (1997)

    Google Scholar 

  6. Cho, J.H., Kim, S.D.: Object detection using multi-resolution mosaic in image sequences. Signal Processing: Image Communication 20(3), 233–253 (2005)

    Article  MathSciNet  Google Scholar 

  7. Aner-Wolf, A., Kender, J.R.: Video summaries and cross-referencing through mosaic-based representation. Computer Vision and Image Understanding 95(2), 201–237 (2004)

    Article  Google Scholar 

  8. Bhosle, U., Roy, S.D., Chaudhuri, S.: Multispectral panoramic mosaicing. Pattern Recognition Letters 26(4), 471–482 (2005)

    Article  Google Scholar 

  9. Hsieh, J.-W.: Fast stitching algorithm for moving object detection and mosaic construction. Image and Vision Computing 22(4), 291–306 (2004)

    Article  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Kang, OH., Lee, JH., Rhee, YW. (2006). Hybrid Image Mosaic Construction Using the Hierarchical Method. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751595_32

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  • DOI: https://doi.org/10.1007/11751595_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34075-1

  • Online ISBN: 978-3-540-34076-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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