Parallel Key Frame Extraction for Surveillance Video Service in a Smart City.

ABSTRACT: Surveillance video service (SVS) is one of the most important services provided in a smart city. It is very important for the utilization of SVS to provide design efficient surveillance video analysis techniques. Key frame extraction is a simple yet effective technique to achieve this goal. In surveillance video applications, key frames are typically used to summarize important video content. It is very important and essential to extract key frames accurately and efficiently. A novel approach is proposed to extract key frames from traffic surveillance videos based on GPU (graphics processing units) to ensure high efficiency and accuracy. For the determination of key frames, motion is a more salient feature in presenting actions or events, especially in surveillance videos. The motion featu

SUBMITTER: Zheng R 

PROVIDER: S-EPMC4540463 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature