Abstract
Feature coding has been recently considered to facilitate intelligent video analysis for urban computing. Instead of raw videos, extracted features in the front-end are encoded and transmitted to the back-end for further processing. In this article, we present a lossless key-point sequence compression approach for efficient feature coding. The essence of this predict-and-encode strategy is to eliminate the spatial and temporal redundancies of key points in videos. Multiple prediction modes with an adaptive mode selection method are proposed to handle key-point sequences with various structures and motion. Experimental results validate the effectiveness of the proposed scheme on four types of widely used key-point sequences in video analysis.
Original language | English |
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Pages (from-to) | 12-22 |
Number of pages | 11 |
Journal | IEEE Multimedia |
Volume | 27 |
Issue number | 3 |
Early online date | 28 Apr 2020 |
DOIs | |
Publication status | Published - 1 Jul 2020 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Media Technology
- Hardware and Architecture
- Computer Science Applications