Multi-view coding and routing of local features in Visual Sensor Networks
- 1 April 2016
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Visual Sensor Networks (VSNs) have been recently used for implementing automatic visual analysis tasks where local image features, instead of images, are compressed and transmitted to a central controller. Such features may also be compressed in a multi-view fashion, exploiting the redundancy between overlapping views. In this paper we analyze the problem of multi-view coding and routing of features in VSNs. We empirically analyze the relationship between the bitrate reduction obtained with a practical multi-view local features encoder and several geometry-based, image-based and feature-based predictors. The purpose of this analysis is to identify the most accurate, yet compact predictor of the achievable compression efficiency when jointly encoding correlated streams of local features. Then, we propose a robust optimization framework that exploits the aforementioned predictors. The proposed mathematical problem maximizes the amount of data extracted from the VSN by properly routing the streams of features, subject to capacity, interference and energy constraints, explicitly considering the uncertainty in the compression efficiency estimation. Extensive experiments on simulated VSNs show that multi-view coding maximizes the amount of data extracted from camera nodes, while the robust optimization approach provides significant improvement in uncertain scenarios compared to the optimal solution of a deterministic approach.Keywords
This publication has 22 references indexed in Scilit:
- Coding Local and Global Binary Visual Features Extracted From Video SequencesIEEE Transactions on Image Processing, 2015
- Multi-view coding of local features in visual sensor networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- A novel approach for extracting spatial correlation of visual information in heterogeneous wireless multimedia sensor networksComputer Networks, 2014
- An Empirical Model of Multiview Video Coding Efficiency for Wireless Multimedia Sensor NetworksIEEE Transactions on Multimedia, 2013
- Correlation-Aware QoS Routing With Differential Coding for Wireless Video Sensor NetworksIEEE Transactions on Multimedia, 2012
- Joint Coding/Routing Optimization for Distributed Video Sources in Wireless Visual Sensor NetworksIEEE Transactions on Circuits and Systems for Video Technology, 2011
- Correlation-Aware QoS Routing for Wireless Video Sensor NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Towards an efficient distributed object recognition system in wireless smart camera networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Collaborative Data Compression Using Clustered Source Coding for Wireless Multimedia Sensor NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Video Google: a text retrieval approach to object matching in videosPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003