Background extraction and long-term memory motion-compensated prediction for spatial-random-access-enabled video coding

Authors:
Aditya Mavlankar;Bernd Girod
Affiliations:
Information Systems Laboratory, Department of Electrical Engineering, Stanford University, Stanford, CA;Information Systems Laboratory, Department of Electrical Engineering, Stanford University, Stanford, CA
Venue:
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Year:
2009

Citing 6
Cited 5

Salient stills: process and practice

IBM Systems Journal
Creation of High-Resolution Video Panoramas of Sport Events

ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
RDTC Optimized Compression of Image-Based Scene Representations (Part I): Modeling and Theoretical Analysis

IEEE Transactions on Image Processing
RDTC Optimized Compression of Image-Based Scene Representations (Part II): Practical Coding

IEEE Transactions on Image Processing
Long-term memory motion-compensated prediction

IEEE Transactions on Circuits and Systems for Video Technology
The SP- and SI-frames design for H.264/AVC

IEEE Transactions on Circuits and Systems for Video Technology

Pre-fetching based on video analysis for interactive region-of-interest streaming of soccer sequences

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Adaptive encoding of zoomable video streams based on user access pattern

MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
ClassX: an open source interactive lecture StreamingSystem

MM '11 Proceedings of the 19th ACM international conference on Multimedia
Adaptive encoding of zoomable video streams based on user access pattern

Image Communication
Interactive Omnidirectional Video Delivery: A Bandwidth-Effective Approach

Bell Labs Technical Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Video streaming with virtual pan/tilt/zoom functionality allows the viewer to watch arbitrary regions of a high-spatial-resolution scene. A video coding scheme with random access to arbitrary regions of arbitrary zoom factors helps avoid transmission and/or decoding of the entire high-spatial-resolution video signal. The video coding scheme, proposed in our earlier work, creates a multi-resolution representation and uses P slices of H.264/AVC. The base layer, which provides a thumbnail overview of the entire scene, is encoded using motion-compensated prediction (MCP) among temporally successive frames. To provide efficient random access, we avoid MCP among temporally successive frames of the higher resolution layers. Instead, upward prediction from the reconstructed thumbnail frames is used for coding high-resolution P slices. In this paper, we show that background extraction and long-term memory motion-compensated prediction can reduce the bitrate by up to 85% while retaining efficient random access capability.