Adaptive Resolution Intra Coding

Delivering high resolution video in restricted bandwidth scenarios can be challenging.  Part of the reason for this is the high bitrate requirement of the intra-coded Instantaneous Decoding Refresh (IDR) pictures featuring in all video coding standards. Frequent coding of IDR frames is essential for error resilience in order to prevent the occurrence of error propagation. However, as each one consumes a huge portion of the available bitrate, the quality of future coded frames is hindered by high levels of compression. This work looks at new adaptive resolution intra coding methods for improving the rate distortion performance of the video codec.

 

B. Hosking, D. Agrafiotis, and D. Bull, “Spatial resampling of IDR frames for low bitrate video coding with HEVC,” IS&T/SPIE Electronic Imaging, San Francisco, Feb 2015.

B. Hosking, D. Agrafiotis, D. Bull, and N. Easton, “AN ADAPTIVE RESOLUTION RATE CONTROL METHOD FOR INTRA CODING IN HEVC,” IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, March 2016.

 

AIC

 

Effect of resampled coding of IDR frame to the quality of a reconstructed B frame in a Group of Pictures (similar bitrate): left resampled coded , middle original, right standard coded

Remote Pulmonary Function Testing using a Depth Sensor

We propose a remote non-invasive approach to Pulmonary Function Testing using a time-of-flight depth sensor (Microsoft Kinect V2), and correlate our results to clinical standard spirometry results. Given point clouds, we approximate 3D models of the subject’s chest, estimate the volume throughout a sequence and construct volume-time and flow-time curves for two prevalent spirometry tests: Forced Vital Capacity and Slow Vital Capacity. From these, we compute clinical measures, such as FVC, FEV1, VC and IC. We correlate automatically extracted measures with clinical spirometry tests on 40 patients in an outpatient hospital setting. These demonstrate high within-test correlations.

 

V. Soleimani, M. Mirmehdi, D. Dame, S. Hannuna, M. Camplani, J. Viner and J. Dodd “Remote pulmonary function testing using a depth sensor,” Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE, Atlanta, GA, 2015, pp. 1-4.
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7348445&isnumber=7348273