Key-Point Sequence Lossless Compression for Intelligent Video Analysis

Weiyao Lin, Xiaoyi He, Wenrui Dai, John See, Tushar Shinde, Hongkai Xiong, Lingyu Duan

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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 languageEnglish
Pages (from-to)12-22
Number of pages11
JournalIEEE Multimedia
Volume27
Issue number3
Early online date28 Apr 2020
DOIs
Publication statusPublished - 1 Jul 2020

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Media Technology
  • Hardware and Architecture
  • Computer Science Applications

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