scispace - formally typeset
Y

Yannick Olivier

Publications -  39
Citations -  207

Yannick Olivier is an academic researcher. The author has contributed to research in topics: Macroblock & Decoding methods. The author has an hindex of 7, co-authored 39 publications receiving 207 citations.

Papers
More filters
Patent

Method or device for coding a sequence of source pictures

TL;DR: In this article, a pre-analysis phase performs correlation level calculations of the even and odd field blocks of the current picture with the odd and odd fields of the reference picture based on motion vectors calculated during this phase.
Patent

Derivation of Frame/Field Encoding Mode for a Pair of Video Macroblocks

TL;DR: In this paper, the frame/field mode is selected according to the following steps: determination of a vector movement associated with the co-localised macroblock of the macroblock to be encoded (21) and located in the subsequent reference image; scaling (24) of vector movement according to temporal distances between the reference images corresponding to the vector movement; determination of the temporal macroblock in the selected reference image.
Proceedings ArticleDOI

High dynamic range video distribution using existing video codecs

TL;DR: This paper presents a technique that requires only one instance of an 8-bit distribution codec and transforms HDR frames into LDR-like ones and uses metadatas to help the decoder to achieve a good HDR reconstruction.

HDR Video Coding based on Local LDR Quantization

TL;DR: This paper presents an HDR video coding scheme aiming at oering high compression performance while re-using legacy low bit-depth decoders (e.g. AVC 8-bit, HEVC 8- or 10-bit) and uses side- and meta-data to help the decoder achieve a good HDR reconstruction.
Patent

Method for processing a video sequence, corresponding device, computer program and non-transitory computer-readable medium

TL;DR: In this article, a method for processing a video sequence formed by at least two video images is proposed, which consists of determining luminance information from at least one overall image obtained by a second capture module with a second field of view greater than the first field of views.