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IEEE International Conference on Image Processing (ICIP)

P. M. Antoszczyszyn, +2 more
TLDR
The IVMSP Technical Committee will review the proposal, and if it so chooses, will endorse the proposal and forward it to the Conference Board, which will recommend the proposal to the Board of Governors for final approval.
Abstract: 
ICIP is the premier international forum for the technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. The series is sponsored by the IEEE Signal Processing Society and has been held annually since 1994. Research frontiers in fields ranging from traditional image processing applications to evolving multimedia and video technologies are regularly advanced by results first reported in ICIP technical sessions. Topics include, but are not limited to: Procedure 1. Send notice of intent to bid to the Vice President – Conferences and SPS Conference Services staff at sps-conf-proposals@ieee.org. Include in the notice your contact information and the proposed dates and location. 2. Conference Services staff will issue the proposal submission forms upon receipt of the letter of intent. 3. The forms must be completed and the proposal submitted to the Conference Services staff at least three months prior to the next ICIP meeting. See below for more information on the Proposal Timeline. 4. The receipt of the proposal may prompt an invitation to present from the IVMSP Technical Committee Chair to the Committee. 5. The IVMSP Technical Committee will review the proposal, and if it so chooses, will endorse the proposal and forward it to the Conference Board. 6. The Vice President – Conferences may issue an invitation to present to the Conference Board. 7. The Conference Board, if it so chooses, will endorse the proposal and forward it to the Board of Governors for final approval.

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Citations
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Journal ArticleDOI

3D imaging of nanomaterials by discrete tomography.

Kees Joost Batenburg, +9 more
- 01 May 2009 - 
TL;DR: The basic principles of DART are described and it is shown that it can be applied successfully to three different types of samples, consisting of embedded ErSi(2) nanocrystals, a carbon nanotube grown from a catalyst particle and a single gold nanoparticle, respectively.
Journal ArticleDOI

Compressed Histogram of Gradients: A Low-Bitrate Descriptor

Vijay Chandrasekhar, +6 more
- 01 Feb 2012 - 
TL;DR: A framework for computing low bit-rate feature descriptors with a 20× reduction in bit rate compared to state-of-the-art descriptors is proposed and it is shown how to efficiently compute distances between descriptors in the compressed domain eliminating the need for decoding.
Journal ArticleDOI

Visual Kinship Recognition of Families in the Wild

Joseph P. Robinson, +5 more
- 01 Nov 2018 - 
TL;DR: It is shown that pre-trained CNN models fine-tuned on FIW outscores other conventional methods and achieved state-of-the art on the renowned KinWild datasets and is statistically compare FIW to related datasets, which unarguably shows enormous gains in overall size and amount of information encapsulated in the labels.
Journal ArticleDOI

Iris liveness detection for mobile devices based on local descriptors

Diego Gragnaniello, +2 more
- 01 May 2015 - 
TL;DR: A fast and accurate technique to detect printed-iris attacks based on the local binary pattern (LBP) descriptor, which makes possible the implementation for the relatively small CPU processing power of a mobile device.
Journal ArticleDOI

Attractive-and-repulsive center-symmetric local binary patterns for texture classification

Y. El merabet, +3 more
- 01 Feb 2019 - 
TL;DR: A new modeling of the conventional LBP operator for texture classification named Attractive-and-Repulsive Center-Symmetric Local Binary Patterns and its variants and multiscale ARCS-LBP descriptor is presented, showing that the proposed operators can achieve impressive classification accuracy.
References
More filters
Journal ArticleDOI

3D imaging of nanomaterials by discrete tomography.

Kees Joost Batenburg, +9 more
- 01 May 2009 - 
TL;DR: The basic principles of DART are described and it is shown that it can be applied successfully to three different types of samples, consisting of embedded ErSi(2) nanocrystals, a carbon nanotube grown from a catalyst particle and a single gold nanoparticle, respectively.
Journal ArticleDOI

Compressed Histogram of Gradients: A Low-Bitrate Descriptor

Vijay Chandrasekhar, +6 more
- 01 Feb 2012 - 
TL;DR: A framework for computing low bit-rate feature descriptors with a 20× reduction in bit rate compared to state-of-the-art descriptors is proposed and it is shown how to efficiently compute distances between descriptors in the compressed domain eliminating the need for decoding.
Journal ArticleDOI

VideoSet: A large-scale compressed video quality dataset based on JND measurement

Haiqiang Wang, +13 more
- 01 Jul 2017 - 
TL;DR: Wang et al. as mentioned in this paper built a large-scale JND-based coded video quality dataset, which consists of 220 5-s sequences in four resolutions (i.e., 1920 × 1080, 1280 × 720, 960 × 540 and 640 × 360 ).
Journal ArticleDOI

Visual Kinship Recognition of Families in the Wild

Joseph P. Robinson, +5 more
- 01 Nov 2018 - 
TL;DR: It is shown that pre-trained CNN models fine-tuned on FIW outscores other conventional methods and achieved state-of-the art on the renowned KinWild datasets and is statistically compare FIW to related datasets, which unarguably shows enormous gains in overall size and amount of information encapsulated in the labels.
Journal ArticleDOI

Iris liveness detection for mobile devices based on local descriptors

Diego Gragnaniello, +2 more
- 01 May 2015 - 
TL;DR: A fast and accurate technique to detect printed-iris attacks based on the local binary pattern (LBP) descriptor, which makes possible the implementation for the relatively small CPU processing power of a mobile device.