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http://hdl.handle.net/1942/30115
Title: | Talking Video Heads - Saving Streaming Bitrate by Adaptively Applying Object-based Video Principles to Interview-like Footage | Authors: | WIJNANTS, Maarten COPPERS, Sven ROVELO RUIZ, Gustavo QUAX, Peter LAMOTTE, Wim |
Issue Date: | 2019 | Publisher: | ASSOC COMPUTING MACHINERY | Source: | MM '19 Proceedings of the 27th ACM International Conference on Multimedia, ACM, p. 2449 -2458 | Abstract: | Over-the-top (OTT) streaming services like YouTube and Netflix induce massive amounts of video traffic. To combat the resulting network load, this article empirically explores the use of the object-based video (OBV) methodology that allows for the quality-variant HTTP Adaptive Streaming of respectively the background and foreground object(s) of a video scene. In particular, we study two alternative video object representation methods where the first meticulously follows the object contour, while the second uses axis-aligned bounding box enclosures. We subjectively compare both techniques to traditional, frame-based video compression in the context of live action content featuring talking persons. The resulting mixed methods data shows that (i) OBV-informed users tolerate substantial background quality degradations, and (ii) at an average bitrate reduction of 14 percent, perceptual differences between respectively contour-based OBV and traditional encoding are small or even non-existing for the non-movie content in our corpus. Although our evaluation focuses on interview-like footage, our qualitative data hints that the presented results might be extrapolatable to other video genres. As such, our findings inform content owners and network operators about video bitrate saving opportunities with marginal perceptual impact. | Keywords: | video coding;H.264;MPEG-DASH;subjective evaluation;ACR;VMAF | Document URI: | http://hdl.handle.net/1942/30115 | ISBN: | 9781450368896 | DOI: | 10.1145/3343031.3351045 | ISI #: | WOS:000509743400309 | Rights: | 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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Talking_Video_Heads_LABEL_fourteenth_draft_camready_FINAL.pdf Restricted Access | Published version | 926.07 kB | Adobe PDF | View/Open Request a copy |
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