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Compression and distribution of panoramic videos utilising MPEG-7-based image registration

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Abstract

This paper describes an innovative compression method of panoramic images based on MPEG-7 descriptors. The proposed solution employs a detection of a series of individual video frame overlaps in order to produce concatenated panoramic images. The presented method is easy to implement even in simple devices such as low power consuming chipsets installed in remote cameras having limited power supplies. Under subjective tests it has been proved that the concatenation method allows for achieving lower transmission rates while sustaining picture quality.

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Acknowledgements

The work presented in this paper was supported in part by the Polish State Ministry of Science and Higher Education under the Grants No. NN517438833 and 4T11D00525, as well as by the European Commission under the grant no. FP6-0384239 (Network of Excellence CONTENT).

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Authors and Affiliations

  1. AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland

    Andrzej Glowacz, Michał Grega, Piotr Romaniak, Mikołaj Leszczuk & Zdzisław Papir

  2. Swietokrzyska Academy, ul. Swietokrzyska 15, 25-406, Kielce, Poland

    Ignacy Pardyka

Authors
  1. Andrzej Glowacz
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  2. Michał Grega
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  3. Piotr Romaniak
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  4. Mikołaj Leszczuk
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  5. Zdzisław Papir
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  6. Ignacy Pardyka
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Corresponding author

Correspondence to Andrzej Glowacz.

Appendix 1 Description of overlap coordinates detection algorithm

Appendix 1 Description of overlap coordinates detection algorithm

A recursive algorithm is implemented [1]. It starts with a zero translation vector: (x 0, y 0) = (0, 0). In the first step the x 1 coordinate is searched. This coordinate pinpoints the best place of intersection of images in the horizontal axis (with no vertical offset). A D(x 1, y 0) distance value of the overlapping at (x 1, y 0) image parts is calculated for evaluation of progress of the algorithm. After calculating the horizontal offset, a vertical offset is searched. For a found x 1 coordinate the y 1 coordinate is searched. A D(x 1, y 1) distance value of the overlapping at (x 1, y 1) image parts is calculated. If the result is better than the previous one, i.e. D(x 1, y 1) < D(x 1, y 0), the above algorithm is repeated, aiming at finding (x 2, y 1) with D(x 2, y 1). Otherwise, it terminates. The comparison of descriptor values calculated in the previous steps allows assessing if the result is closer to the optimal one. If any progress is made (the latter distance value is smaller than the previous one), the algorithm is continued. Otherwise, the previous coordinates pinpoint the best location for intersection of images. The algorithm is depicted in Fig. 3 in Section 2.2. Horizontal and vertical coordinates are calculated in a similar way.

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Glowacz, A., Grega, M., Romaniak, P. et al. Compression and distribution of panoramic videos utilising MPEG-7-based image registration. Multimed Tools Appl 40, 321–339 (2008). https://doi.org/10.1007/s11042-008-0209-0

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