Video summarization of surveillance cameras
| Autor: | P. Lai, Kelvin Moutet, Marc Decombas, Robert Laganiere |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry Frame (networking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) 020207 software engineering 02 engineering and technology Automatic summarization Video compression picture types Video tracking Long period 0202 electrical engineering electronic engineering information engineering Trajectory 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Cluster analysis |
| Zdroj: | AVSS |
| DOI: | 10.1109/avss.2016.7738018 |
| Popis: | The number of video surveillance cameras has increased by a large amount in recent years. There is therefore a need to process the captured videos such that human operators can quickly review the activities recorded by a camera over a long period of time. We propose in this paper an approach for producing video summaries, an abbreviated video preserving the important elements of interest. We introduce a dataset as well as three evaluation metrics for quantifying the performance of a video summary with respect to compression length, the amount of activity retained and the amount of activity that is packed into each frame of the summary. |
| Databáze: | OpenAIRE |
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