activity
20162023
most citedADNet: A Deep Network for Detecting Adverts

12 citations · 55 across the 16 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.IV2022

Frame-type Sensitive RDO Control for Content-Adaptive-encoding

Vibhoothi, François Pitié, Anil Kokaram

Video transcoding is an increasingly important application in the streaming media industry. It has become important to investigate the optimisation of transcoder parameters for a s…

eess.IV2022★ 7 cited

Near Optimal Per-Clip Lagrangian Multiplier Prediction in HEVC

Daniel J Ringis, François Pitié, Anil Kokaram

The majority of internet traffic is video content. This drives the demand for video compression to deliver high quality video at low target bitrates. Optimising the parameters of a…

eess.IV2022★ 1 cited

Per-clip and per-bitrate adaptation of the Lagrangian multiplier in video coding

Daniel J. Ringis, François Pitié, Anil Kokaram

In the past ten years there have been significant developments in optimization of transcoding parameters on a per-clip rather than per-genre basis. In our recent work we have prese…

eess.IV2022★ 3 cited

Per-clip adaptive Lagrangian multiplier optimisation with low-resolution proxies

Daniel J. Ringis, François Pitié, Anil Kokaram

This work focuses on reducing the computational cost of repeated video encodes by using a lower resolution clip as a proxy. Features extracted from the low resolution clip are used…

eess.IV2022★ 7 cited

Per Clip Lagrangian Multiplier Optimisation for HEVC

Daniel J Ringis, François Pitié, Anil Kokaram

The majority of internet traffic is video content. This drives the demand for video compression in order to deliver high quality video at low target bitrates. This paper investigat…