An end-to-end distributed video analytics system using HEVC annotated regions SEI message

Palanivel Guruvareddiar; Jill Boyce; Rajesh Poornachandran

doi:10.1117/12.2593619

1 August 2021 An end-to-end distributed video analytics system using HEVC annotated regions SEI message

Palanivel Guruvareddiar, Jill Boyce, Rajesh Poornachandran

Proceedings Volume 11842, Applications of Digital Image Processing XLIV; 118420B (2021) https://doi.org/10.1117/12.2593619
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Abstract

The HEVC Annotated Regions (AR) SEI message supports object tracking by carrying parameters defining rectangular bounding boxes with unique object identifiers, time-aligned within a video bitstream. An end-to-end distributed video analytics pipeline utilizing the AR SEI message within the GStreamer framework has been implemented, with an edge node and a cloud server node. At the edge, light-weight face detection is performed, and face region parameters are used to create the AR SEI message syntax within an HEVC bitstream. At the cloud server, face regions are extracted from the decoded video and age and gender classification is performed. The HEVC bitstream is updated to include additional metadata in the AR SEI message.

Conference Presentation

Citation Download Citation

Palanivel Guruvareddiar, Jill Boyce, and Rajesh Poornachandran "An end-to-end distributed video analytics system using HEVC annotated regions SEI message", Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 118420B (1 August 2021); https://doi.org/10.1117/12.2593619

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