3D High-Efficiency Video Coding for Multi-View Video and Depth Data

By K. Müller, Heiko Schwarz, Detlev Marpe, Christian Bartnik, Sebastian Bosse, Heribert Brust, Tobias Hinz, Haricharan Lakshman, Philipp Merkle, Hunn Rhee and 3 more. IEEE Transactions on Image Processing, 2013

374 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/70919a28fa94a94aa90daba0c8f9a7890ee1a892

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Pablo César
2. Rufael Mekuria
3. Kees Blom
4. K. Müller
5. Jens-Rainer Ohm
6. Anthony Vetro
7. Ye-Kui Wang
8. Gerhard Tech

In Signal Processing

1. Pablo César
2. Rufael Mekuria
3. Kees Blom
4. K. Müller
5. Jens-Rainer Ohm
6. Anthony Vetro
7. Ye-Kui Wang
8. Gerhard Tech

Citations in the corpus

• Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video (2017, methodology): “3) Multiview Plus Depth Compression: Multiview plus depth representation was considered for storing video and depth maps from multiple cameras [7], [8].”
• Overview of the Multiview and 3D Extensions of High Efficiency Video Coding (2016, methodology): “In 2011, a call for proposals (CfP) was issued based on a specified set of requirements and the defined evaluation procedure [10], which solicited technology contributions for both the Advanced Video Coding (AVC) and HEVC frameworks.”