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Saliency-based Feature Selection Strategy in Stereoscopic Panoramic Video Generation

Abstract: 

In this paper, we present one saliency-based feature selection and tracking strategy in the feature-based stereoscopic panoramic video generation system. Many existing stereoscopic video composition approaches aims at producing high-quality panoramas from multiple input cameras; however, most of them directly operate image alignment on those originally detected features without any refinement or optimization. The standard global feature extraction threshold always fails to guarantee stitching correctness of all human interested regions. Thus, based on the originally commonly identified feature set, we incorporate the saliency map into the distribution of control points to remove the redundancy in texture rich regions and ensure the adequacy of selected features in visual sensitive regions. Intuitively, under the guidance of saliency change in the video sequence, one grid-based feature updating strategy is operated between consecutive frames instead of the standard global feature updating. The experiments show that our method can improve the stitching quality of visual important region without impairment to the human less-interested regions in the generated stereoscopic panoramic video.

This publication is based on work supported in part by the National Science Foundation award CNS-1456638 for SENSEI project. If you have any questions about it, please

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Paper Details

Authors:
Haoyu Wang, Daniel J. Sandin, Dan Schonfeld
Submitted On:
19 April 2018 - 5:06pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
HAOYU WANG
Paper Code:
IVMSP-P11.7
Document Year:
2018
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Document Files

ICASSP_2018_20180416.pdf

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[1] Haoyu Wang, Daniel J. Sandin, Dan Schonfeld, "Saliency-based Feature Selection Strategy in Stereoscopic Panoramic Video Generation", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3028. Accessed: May. 21, 2018.
@article{3028-18,
url = {http://sigport.org/3028},
author = {Haoyu Wang; Daniel J. Sandin; Dan Schonfeld },
publisher = {IEEE SigPort},
title = {Saliency-based Feature Selection Strategy in Stereoscopic Panoramic Video Generation},
year = {2018} }
TY - EJOUR
T1 - Saliency-based Feature Selection Strategy in Stereoscopic Panoramic Video Generation
AU - Haoyu Wang; Daniel J. Sandin; Dan Schonfeld
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3028
ER -
Haoyu Wang, Daniel J. Sandin, Dan Schonfeld. (2018). Saliency-based Feature Selection Strategy in Stereoscopic Panoramic Video Generation. IEEE SigPort. http://sigport.org/3028
Haoyu Wang, Daniel J. Sandin, Dan Schonfeld, 2018. Saliency-based Feature Selection Strategy in Stereoscopic Panoramic Video Generation. Available at: http://sigport.org/3028.
Haoyu Wang, Daniel J. Sandin, Dan Schonfeld. (2018). "Saliency-based Feature Selection Strategy in Stereoscopic Panoramic Video Generation." Web.
1. Haoyu Wang, Daniel J. Sandin, Dan Schonfeld. Saliency-based Feature Selection Strategy in Stereoscopic Panoramic Video Generation [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3028