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Fig. 1 | EURASIP Journal on Image and Video Processing

Fig. 1

From: Exploiting textures for better action recognition in low-quality videos

Fig. 1

Sample videos from low-quality subsets of the KTH, UCF-YouTube, and HMDB datasets. The top row are samples from KTH, the middle row are samples from UCF-YouTube, and the bottom row are samples from HMDB. We can observe that the videos are severely compromised by many quality-related factors such as low resolution, lossy compression, and camera motion blurring. As such, the characterization of actions from these videos would be much more challenging

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