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Research map / Video / Video segmentation and tracking

Deep Learning in Latent Space for Video Prediction and Compression

CVPR 2021 · Video › Video segmentation and tracking · approach: Learned video compression · 83 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use latent-space prediction and compression for anomaly detectionVideo prediction and compression framework · UCSD Ped1AUC (%): 89.9 -> 90.9Helped
Use latent-space prediction and compression for anomaly detectionVideo prediction and compression framework · UCSD Ped2AUC (%): 95.4 -> 93.6Hurt
Use latent-space prediction and compression for anomaly detectionVideo prediction and compression framework · Subway EntranceAUC (%): 94.3 -> 88.2Hurt
Use latent-space prediction and compression for anomaly detectionVideo prediction and compression framework · Subway ExitAUC (%): 94.0 -> 94.5Helped
Use latent-space prediction and compression for anomaly detectionVideo prediction and compression framework · CUHK AvenueAUC (%): 84.9 -> 85.4Helped
Add discriminator loss during prediction-network training (ablation)Latent-space video prediction network · Video compressionPSNRNo clear effect
Add discriminator loss during prediction-network training (ablation)Latent-space video prediction network · Video compressionSubjective reconstruction qualityHelped

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