Abstract
There are a number of standard video sequences produced by some organizations and companies, which simulate different scenes and conditions in order to properly test video coding methods. With the rapid development of sensing and imaging technologies, more information can be employed to assist video coding. However, the existed sequences cannot satisfy the recently proposed video coding methods. Moreover, to capture 3D video, multi-cameras, including texture and depth cameras, are used together. Thus, a synchronization mechanism is needed to control different cameras. In addition, some adverse conditions, such as light source flicker, affect the quality of the video. In order to acquire proper video sequences, we proposed a flexible control platform for texture and depth cameras, which could address the above issues. We have applied the platform to test several new methods proposed recently. With the assistance of this platform, we have achieved considerable positive results.
This work was supported by National Natural Science Foundation of China (No.61210006, No.60972085).
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All the hardware schematics and software codes will be available for download after the paper is accepted.
References
CISCO White Paper, Cisco Visual Networking Index: Forecast and Methodology, 20132018. http://www.cisco.com/
Angelino, C.V., Cicala, L., Persechino, G., Baccaglini, E., Gavelli, M., Raimondo, N.: A sensor aided H.264 encoder tested on aerial imagery for SFM. In: IEEE International Conference on Image Processing (ICIP), Paris, France, 10/2014 (2014)
Chen, X., Zhao, Z., Rahmati, A., Wang, Y., Zhong, L.: Sensor-assisted video encoding for mobile devices in real-world environments. IEEE Trans. Circuits Syst. Video Technol. 21(3), 335–349 (2011)
Merkle, P., Smolic, A., Muller, K., Wiegand, T.: Multi-view video plus depth representation and coding. In: IEEE International Conference on Image Processing, ICIP 2007, vol. 1, pp. I-201. IEEE (2007)
Fehn, C.: Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV. In: International Society for Opticsand Photonics Electronic Imaging 2004, pp. 93–104 (2004)
Hannuksela, M., Chen, Y., Suzuki, T., Ohm, J.-R., Sullivan G., (ed.) AVC draft text 8. In: JCT-3V document JCT3V-F1002, vol. 16 (2013)
Chen, Y., Hannuksela, M.M., Suzuki, T., Hattori, S.: Overview of the MVC+ D 3D video coding standard. J. Vis. Commun. Image Represent. 25(4), 679–688 (2014)
Bucci, G., Fiorucci, E., Landi, C.: A digital instrument for light flicker effect evaluation. IEEE Trans. Instrum. Meas. 57(1), 76–84 (2008)
Qiao, S., Zhang, Y., Wang, H.: PI-frames for flickering reduction in H.264/AVC video coding. In: 2012 International Conference on Computer Science Service System (CSSS), pp. 1551–1554, August 2012
Jin, Z., Tillo, T., Cheng, F.: Depth-map driven planar surfaces detection. In: IEEE Visual Communications and Image Processing Conference (IEEE VCIP), Valletta, Malta, 12/2014 (2014)
MESA IMAGING. SR4000. http://www.mesa-imaging.ch/products/sr4000/
Shumway-Cook, A., Woollacott, M.H.: Motor Control: Theory and Practical Applications, vol. 157. Williams & Wilkins Baltimore, Baltimore (1995)
HHI Fraunhofer Institute, H.264/AVC Reference Software. http://iphome.hhi.de/suehring/tml/download/
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Cheng, F., Xiao, J., Tillo, T., Zhao, Y. (2015). A Flexible Programmable Camera Control and Data Acquisition Hardware Platform. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9315. Springer, Cham. https://doi.org/10.1007/978-3-319-24078-7_25
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DOI: https://doi.org/10.1007/978-3-319-24078-7_25
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