Paper Info
Title
An H.264 Sensor Aided Encoder for Aerial Video Sequences with In-the-Loop Metadata Enhancement.
Abstract
Unmanned Aerial Vehicles UAVs are often employed to capture high resolution images in order to perform image mosaicking and/or 3D reconstruction. Images are usually stored on-board or sent to the ground using still image or video data compression. Still image encoders are preferred when low frame rates are involved, because video coding systems are based on motion estimation and compensation algorithms which fail when the motion vectors are significantly long. The latter is the case of low frame rate videos, in which the overlapping between subsequent frames is very small. In this scenario, UAVs attitude and position metadata from the Inertial Navigation System INS can be employed to estimate global motion parameters without video analysis. However, a low complexity analysis can refine the motion field estimated using only the metadata. In this work, we propose to use this refinement step in order to improve the position and attitude estimation produced by the navigation system with the aim of maximizing the encoder performance. Experiments on both simulated and real world video sequences confirm the effectiveness of the proposed approach.
Year
DOI
Venue
2015
10.1007/978-3-319-25903-1_73
ACIVS
Field
DocType
Volume
Computer vision,Block-matching algorithm,Aerial video,Motion field,Quarter-pixel motion,Computer science,Motion compensation,Artificial intelligence,Frame rate,Motion estimation,Video compression picture types
Conference
9386
ISSN
Citations 
PageRank 
0302-9743
1
0.40
References 
Authors
4
5
Name
Order
Citations
PageRank
Luca Cicala1245.09
Cesario Vincenzo Angelino21639.05
N. Raimondo330.81
Enrico Baccaglini4909.52
Marco Gavelli530.80