Prof. Fernando M. B. Pereira Profile

Prof. Fernando M. B. Pereira

at IST-IT

SPIE Involvement:

Conference Program Committee | Author

Proceedings Article | 17 May 2022 Presentation + Paper

Media security framework inspired by emerging challenges in fake media and NFT

Frederik Temmermans, Deepayan Bhowmik, Fernando Pereira, Touradj Ebrahimi

Proceedings Volume 12138, 121380P (2022) https://doi.org/10.1117/12.2622223

KEYWORDS: Information security, Ecosystems, Standards development, Image compression, New and emerging technologies, Multimedia, Video, Neural networks, Image processing, Human-machine interfaces

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Proceedings Article | 1 May 2022 Paper

Conventional versus learning-based video coding benchmarking: Where are we?

Helena Oliveira, João Ascenso, Fernando Pereira

Proceedings Volume 12177, 121770T (2022) https://doi.org/10.1117/12.2626001

KEYWORDS: Video coding, Video, Image compression, Video compression, Motion estimation, Distortion, Multimedia, Machine vision, Machine learning, Neural networks, Artificial neural networks

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Proceedings Article | 1 August 2021 Presentation + Paper

JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation

Frederik Temmermans, Deepayan Bhowmik, Fernando Pereira, Touradj Ebrahimi

Proceedings Volume 11842, 118420L (2021) https://doi.org/10.1117/12.2597556

KEYWORDS: Information visualization, Visualization, Photography, Standards development, Cameras, Artificial intelligence, Information security, Digital forensics, Image compression

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Proceedings Article | 13 April 2020 Presentation + Paper

Exploration of media block chain technologies for JPEG privacy and security

Frederik Temmermans, Deepayan Bhowmik, Fernando Pereira, Touradj Ebrahimi, Peter Schelkens

Proceedings Volume 11353, 113530U (2020) https://doi.org/10.1117/12.2556684

KEYWORDS: Standards development, Computer security, Information security, Image processing, Photography, Multimedia, Ecosystems, Image compression

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Proceedings Article | 1 April 2020 Presentation + Paper

Learning-based image coding: early solutions reviewing and subjective quality evaluation

Joao Ascenso, Pinar Akyazi, Fernando Pereira, Touradj Ebrahimi

Proceedings Volume 11353, 113530S (2020) https://doi.org/10.1117/12.2555368

KEYWORDS: Image compression, Image quality, Neural networks, Quantization, Computer programming, Visualization, Data modeling, RGB color model, Transform theory, Image classification

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Nowadays, image and video are the data types that consume most of the resources of modern communication channels, both in fixed and wireless networks. Thus, it is vital to compress visual data as much as possible, while maintaining some target quality level, to enable efficient storage and transmission. Deep learning (DL) image coding solutions, typically using an auto-encoder architecture, promise significant improvements in compression efficiency. These methods adopt a novel coding approach where the encoder-decoder architecture is mostly based on neural networks, notably with analysis and synthesis transforms learned from a large amount of training data and an appropriate loss function. There are limited amount of works targeting the subjective evaluation of DL learning-based image coding solutions compression performance. Since learning-based image codecs use complex and highly non-linear generative models, very different artifacts are present in the decoded images, when compared to conventional artifacts such as blockiness, blurring and ringing distortions typical of traditional DCT block-based and wavelet image coding. In this context, the main objective of this paper is to review, characterize and evaluate some of the most relevant learning-based image coding solutions in the literature. Regarding the subjective quality evaluation, the assessment tests were conducted during the 84th JPEG meeting in Brussels, Belgium, by a mix of experts and naive observers. These subjective tests evaluated the performance of five state-of-the-art learning-based image coding solutions against four conventional, standard image coding (HEVC, WebP, JPEG 2000 and JPEG), applied to eight natural images, at four different coding bitrates. The experimental results obtained show that the subjective quality obtained with the selected learning-based image coding solution are competitive with conventional codecs. Moreover, a thorough inspection on the visual results has revealed some of the typical artifacts encountered in the learning -based image coding.

Proceedings Article | 17 September 2018 Presentation + Paper

JPEG Pleno: a standard framework for representing and signaling plenoptic modalities

Peter Schelkens, Zahir Alpaslan, Touradj Ebrahimi, Kwan-Jung Oh, Fernando Pereira, Antonio M. Pinheiro, Ioan Tabus, Zhibo Chen

Proceedings Volume 10752, 107521P (2018) https://doi.org/10.1117/12.2323404

KEYWORDS: Holography, Clouds, Image compression, Standards development, Image processing, Visualization, Image quality standards, Databases, Computer programming, Holograms

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Proceedings Article | 18 January 2010 Paper

Compression efficiency analysis of Wyner-Ziv video coding with motion compensated side information interpolation

João Ascenso, Catarina Brites, Fernando Pereira

Proceedings Volume 7543, 75430D (2010) https://doi.org/10.1117/12.840544

KEYWORDS: Video coding, Motion estimation, Motion models, Error analysis, Computer programming, Motion analysis, Statistical analysis, Distortion, Video, Spectral models

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Proceedings Article | 15 September 2008 Paper

Efficient network-aware macroblock mode decision for error resilient H.264/AVC video coding

Luis Ducla Soares, Paulo Nunes, Fernando Pereira

Proceedings Volume 7073, 70730U (2008) https://doi.org/10.1117/12.796394

KEYWORDS: Video, Computer programming, Video coding, Temporal resolution, Internet, Motion estimation, Network architectures, Error analysis, Digital image processing, Video processing

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Proceedings Article | 2 November 2004 Paper

Rate and distortion models for MPEG-4 video encoding

Paulo Nunes, Fernando Pereira

Proceedings Volume 5558, (2004) https://doi.org/10.1117/12.564449

KEYWORDS: Distortion, Data modeling, Computer programming, Quantization, Video coding, Performance modeling, Error analysis, Video, Statistical modeling, Video compression

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Proceedings Article | 23 June 2003 Paper

Methodologies for objective evaluation of video segmentation quality

Paulo Correia, Fernando Pereira

Proceedings Volume 5150, (2003) https://doi.org/10.1117/12.512839

KEYWORDS: Image segmentation, Video, Image quality, Detection and tracking algorithms, Algorithm development, Video processing, Image processing algorithms and systems, Semantic video, Multimedia, Standards development

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Proceedings Article | 29 December 2000 Paper

Scene level rate control algorithm for MPEG-4 video coding

Paulo Nunes, Fernando Pereira

Proceedings Volume 4310, (2000) https://doi.org/10.1117/12.411798

KEYWORDS: Computer programming, Video, Video coding, Distortion, Data modeling, Quantization, Detection and tracking algorithms, Visualization, Temporal resolution, Error analysis

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Proceedings Article | 29 October 1993 Paper

Mobile videotelephone communications: the CCITT H.261 chances

Fernando Pereira, D. Cortez, Paulo Nunes

Proceedings Volume 1977, (1993) https://doi.org/10.1117/12.160477

KEYWORDS: Video coding, Mobile communications, Signal to noise ratio, Quantization, Image quality, Telecommunications, 3D modeling, Video, Spatial resolution, Temporal resolution

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Proceedings Article | 29 October 1993 Paper

Global motion compensation and motion vector smoothing in an extended H.261 recommendation

Manuel de Sequeira, Fernando Pereira

Proceedings Volume 1977, (1993) https://doi.org/10.1117/12.160508

KEYWORDS: Motion detection, Zoom lenses, Motion estimation, Cameras, Curium, Computer programming, Quantization, Detection and tracking algorithms, Virtual colonoscopy, Error analysis

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Proceedings Article | 22 October 1993 Paper

Knowledge-based videotelephone sequence segmentation

Manuel de Sequeira, Fernando Pereira

Proceedings Volume 2094, (1993) https://doi.org/10.1117/12.158002

KEYWORDS: Image segmentation, Image processing algorithms and systems, Image quality, Image processing, Image resolution, Head, Cameras, Video coding, Algorithm development, Edge detection

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Proceedings Article | 1 September 1990 Paper

Two-layers constant-quality video coding for ATM environments

Fernando Pereira, Lorenzo Masera

Proceedings Volume 1360, (1990) https://doi.org/10.1117/12.24125

KEYWORDS: Video coding, Asynchronous transfer mode, Image quality, Quantization, Networks, Video, Image processing, Visual communications, Broadband telecommunications, Signal to noise ratio

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Showing 5 of 15 publications

SPIE Conference Volume | 12 July 2005

Visual Communications and Image Processing 2005

Conference Committee Involvement (28)

Applications of Digital Image Processing XLVII

19 August 2024 | San Diego, California, United States

Applications of Digital Image Processing XLVI

21 August 2023 | San Diego, California, United States

Applications of Digital Image Processing XLV

22 August 2022 | San Diego, California, United States

Applications of Digital Image Processing XLIV

1 August 2021 | San Diego, California, United States

Applications of Digital Image Processing XLIII

24 August 2020 | Online Only, California, United States

Applications of Digital Image Processing XLII

12 August 2019 | San Diego, California, United States

Applications of Digital Image Processing XLI

20 August 2018 | San Diego, California, United States

Applications of Digital Image Processing XL

7 August 2017 | San Diego, California, United States

Applications of Digital Image Processing XXXIX

29 August 2016 | San Diego, California, United States

Applications of Digital Image Processing XXXVIII

10 August 2015 | San Diego, California, United States

Visual Information Processing and Communication VI

10 February 2015 | San Francisco, California, United States

Applications of Digital Image Processing XXXVII

18 August 2014 | San Diego, California, United States

Visual Information Processing and Communication V

5 February 2014 | San Francisco, California, United States

Applications of Digital Image Processing XXXVI

26 August 2013 | San Diego, California, United States

Visual Information Processing and Communication IV

6 February 2013 | Burlingame, California, United States

Applications of Digital Image Processing XXXV

13 August 2012 | San Diego, California, United States

Visual Information Processing and Communication III

24 January 2012 | Burlingame, California, United States

Applications of Digital Image Processing XXXIV

22 August 2011 | San Diego, California, United States

Visual Information Processing and Communication II

25 January 2011 | San Francisco Airport, California, United States

Applications of Digital Image Processing XXXIII

2 August 2010 | San Diego, California, United States

Visual Information Processing and Communication

19 January 2010 | San Jose, California, United States

Applications of Digital Image Processing XXXII

3 August 2009 | San Diego, California, United States

Visual Communications and Image Processing 2009

20 January 2009 | San Jose, California, United States

Applications of Digital Image Processing XXXI

11 August 2008 | San Diego, California, United States

Visual Communications and Image Processing 2008

29 January 2008 | San Jose, California, United States

Visual Communications and Image Processing 2007

30 January 2007 | San Jose, CA, United States

Visual Communications and Image Processing 2006

17 January 2006 | San Jose, California, United States

Visual Communications and Image Processing 2005

12 July 2005 | Beijing, China

Showing 5 of 28 Conference Committees

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