Can you find a face in a HEVC bitstream?
Not on the map. Why?
Abstract (arXiv)
Finding faces in images is one of the most important tasks in computer vision, with applications in biometrics, surveillance, human-computer interaction, and other areas. In our earlier work, we demonstrated that it is possible to tell whether or not an image contains a face by only examining the HEVC syntax, without fully reconstructing the image. In the present work we move further in this direction by showing how to localize faces in HEVC-coded images, without full reconstruction. We also demonstrate the benefits that such approach can have in privacy-friendly face localization.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Oct 2017.
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Citing papers per year: 2021: 2.
2 papers.
- 2021SFU-HW-Tracks-v1: Object Tracking Dataset on Raw Video Sequences30 Dec 2021
- 2021Transform and Bitstream Domain Image Classification13 Oct 2021