CVOct 30, 2017

Can you find a face in a HEVC bitstream?

arXiv:1710.10736v21 citations
Originality Incremental advance
AI Analysis

This work addresses privacy concerns in face localization for applications like surveillance and biometrics by avoiding full image reconstruction, though it is incremental as it builds on prior work.

The paper tackled the problem of localizing faces in HEVC-coded images without fully reconstructing them, achieving this by examining only the HEVC syntax, which enables privacy-friendly face localization.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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