This demonstrator illustrates the performance of our feedbackchannel-free distributed video coding system for extremely low-resolution visual sensors. The demonstrator includes a setup where a low-power sensor capturing 30 × 30 pixels video data is connected to a laptop PC. The video sequence is encoded, decoded and displayed on the computer screen in real-time for side-by-side comparison between the original input and the reconstructed data. A software environment allows the user to adjust all the control parameters of the video codec and to valuate the influence of changes on the visual quality. The objective performance of the coding system can be monitored in terms of bits per pixel, decoding delays, decoding speed and decoding failures.
Hanca, J, Deligiannis, N & Munteanu, A 2015, Demo: Real-Time Distributed Video Coding Simulator for 1K-Pixel Visual Sensor. in Proceedings of the 9th International Conference on Distributed Smart Camera: ICDSC '15., 57, ACM, pp. 199-200, 9th ACM International Conference on Distributed Smart Cameras, Seville, Spain, 8/09/15.
Hanca, J., Deligiannis, N., & Munteanu, A. (2015). Demo: Real-Time Distributed Video Coding Simulator for 1K-Pixel Visual Sensor. In Proceedings of the 9th International Conference on Distributed Smart Camera: ICDSC '15 (pp. 199-200). Article 57 ACM.
@inproceedings{b0f9c726d6e6435e8c6c982571d55b6f,
title = "Demo: Real-Time Distributed Video Coding Simulator for 1K-Pixel Visual Sensor",
abstract = "This demonstrator illustrates the performance of our feedbackchannel-free distributed video coding system for extremely low-resolution visual sensors. The demonstrator includes a setup where a low-power sensor capturing 30 × 30 pixels video data is connected to a laptop PC. The video sequence is encoded, decoded and displayed on the computer screen in real-time for side-by-side comparison between the original input and the reconstructed data. A software environment allows the user to adjust all the control parameters of the video codec and to valuate the influence of changes on the visual quality. The objective performance of the coding system can be monitored in terms of bits per pixel, decoding delays, decoding speed and decoding failures.",
keywords = "image compression, Distributed Video Coding, Real-Time",
author = "Jan Hanca and Nikolaos Deligiannis and Adrian Munteanu",
year = "2015",
month = sep,
day = "8",
language = "English",
pages = "199--200",
booktitle = "Proceedings of the 9th International Conference on Distributed Smart Camera",
publisher = "ACM",
note = "9th ACM International Conference on Distributed Smart Cameras ; Conference date: 08-09-2015 Through 11-09-2015",
}