Publication in conference proceedings
Light field HEVC-based image coding using locally linear embedding and self-similarity compensated prediction
Ricardo Jorge Santos Monteiro (Monteiro, R.); Luís Lucas (Lucas, L.); Caroline Conti (Conti, C.); Paulo Nunes (Nunes, P.); Nuno M. M. Rodrigues (Rodrigues, N.); Sérgio M. M. Faria (Faria, S.); Carla L. Pagliari (Pagliari, C.); Eduardo A. B. Silva (Silva, E.); Luís Ducla Soares (Soares, L.); et al.
2016 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
Year (definitive publication)
2016
Language
English
Country
United States of America
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Abstract
Light field imaging is a promising new technology that allows the user not only to change the focus and perspective after taking a picture, as well as to generate 3D content, among other applications. However, light field images are characterized by large amounts of data and there is a lack of coding tools to efficiently encode this type of content. Therefore, this paper proposes the addition of two new prediction tools to the HEVC framework, to improve its coding efficiency. The first tool is based on the local linear embedding-based prediction and the second one is based on the self-similarity compensated prediction. Experimental results show improvements over JPEG and HEVC in terms of average bitrate savings of 71.44% and 31.87%, and average PSNR gains of 4.73dB and 0.89dB, respectively.
Acknowledgements
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Keywords
Light field image coding,Self-similarity,Image prediction,Locally linear embedding,HEVC
  • Computer and Information Sciences - Natural Sciences
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
Funding Reference Funding Entity
UID/EEA/50008/2013 Fundação para a Ciência e a Tecnologia
A/BIM/Nº37/2015 Fundação para a Ciência e a Tecnologia
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