Wiki do CiTIUS - inv:downloadable_results

citius_video_awsd

anonymous@undisclosed.example.com (Anonymous) — Fri, 20 May 2016 10:40:22 +0000

INDEX * CITIUS-Dataset * AWS-D Matlab Code * AWS-D results - CITIUS VDB * AWS-D results - External VDB AWS-D Saliency Model A manuscript with the complete description of the model and its results has been published in the IEEE T-PAMI journal (info). If you are interested in obtaining our Matlab p-code please contact us at victor.leboran@usc.es. Kindly indicate your university/industry affiliation and a brief description of how you plan to use the code.

citius_video_benchmark_localdb

anonymous@undisclosed.example.com (Anonymous) — Thu, 19 May 2016 14:09:10 +0000

INDEX * CITIUS-Dataset * AWS-D Matlab Code * AWS-D results - CITIUS VDB * AWS-D results - External VDB Comparison with Humans Next table shows the comparison between the AWS-D model and the HumanPCT50 model, using the s-AUC and s-NSS values for all the vídeos in the CITIUS-VDB. The HumanPCT50 model represents the mean behaviour of half the subjects included in the database. It has been obtained by randomly selecting half of the fixations of the database subjects at each instant.

citius_video_benchmark_otherdb

anonymous@undisclosed.example.com (Anonymous) — Thu, 19 May 2016 14:21:52 +0000

INDEX * CITIUS-Dataset * AWS-D Matlab Code * AWS-D results - CITIUS VDB * AWS-D results - External VDB Comparison with other Databases We have run about 20 saliency models (static and dynamic) over 8 video datasets (with eye movement information). Preliminary results are shown in the following figures. For the human fixation predictions, we have selected five extended downloadable databases that includes 376 videos with an amount of 321.870 frames.

citius_video_database

anonymous@undisclosed.example.com (Anonymous) — Thu, 19 May 2016 14:04:08 +0000

INDEX * CITIUS-Dataset * AWS-D Matlab Code * AWS-D results - CITIUS VDB * AWS-D results - External VDB CITIUS Video Database - Information This eye tracking video database can be used to validate visual attention models. This dataset includes 72 videos downloaded from Internet and some synthetic videos generated in the lab. The videos can be classified in four categories, natural and synthetic, with fixed or movement camera. It includes 27 synthetic videos with dynamic pop-out effec…

elm-emp

anonymous@undisclosed.example.com (Anonymous) — Tue, 12 Jan 2016 09:32:26 +0000

Experimental results related to the paper ELM-based Spectral-Spatial Classification of Hyperspectral Images using Extended Morphological Profiles and Composite Feature Mappings published in the International Journal of Remote Sensing. Abstract Extreme Learning Machine (ELM) is a supervised learning technique for a class of feed forward neural networks with random weights that has recently been used with success for the classification of hyperspectral images. In this work we show that morpholog…

fish_ovary

anonymous@undisclosed.example.com (Anonymous) — Mon, 07 Mar 2016 11:59:04 +0000

Fish Ovary The first four tar.gz files contain four data sets. Each tar.gz file includes several files: see the readme.txt file inside the tar.gz file for further information about each one. The data are in the files XX_R.dat (e.g. oocytes_merluccius_states_2f_R.dat). These data are texture features of oocytes extracted from histological images of fish ovary of species Merluccius and Trisopterus. There are 4 data sets (each one corresponds to a different combination of texture features, as desc…

gpu-elm-rs

anonymous@undisclosed.example.com (Anonymous) — Mon, 19 Jan 2015 11:43:15 +0000

GPU-Based Extreme Learning Machine for the Classification of Hyperspectral Remote Sensing Images Experimental results related to the paper Efficient ELM-based Techniques for the Classification of Hyperspectral Remote Sensing Images on Commodity GPUs by Javier López-Fandiño, Pablo Quesada-Barriuso, Dora B. Heras, and Francisco Argüello, published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

gpu-retina

anonymous@undisclosed.example.com (Anonymous) — Thu, 13 Nov 2014 17:41:38 +0000

GPU-Based Segmentation of Retinal Blood Vessels Experimental results and programming code related to the paper GPU-Based Segmentation of Retinal Blood Vessels by Francisco Argüello, David L. Vilariño, Dora B. Heras, and Alejandro Nieto, published in the Journal of Real time Image Processing. Abstract In this paper a fast and accurate technique for retinal vessel tree extraction is proposed. It consists of a hybrid strategy based on global image filtering and contour tracing. With the aim of …

honeybee_pollen

anonymous@undisclosed.example.com (Anonymous) — Mon, 10 Feb 2014 16:36:36 +0000

Honeybee Pollen This dataset includes inputs which are texture features extracted from images of honeybee pollen loads captured by a stereomicroscope conected to a digital camera. The classes are the plant species: Cytisus, Castanea, Quercus, Rubus and Raphanus. The dataset has:

hycnn

anonymous@undisclosed.example.com (Anonymous) — Tue, 12 Jan 2016 10:22:48 +0000

hycnn Experimental results related to the paper Spectral-Spatial Classification of Hyperspectral Images Based on Convolutional Neural Networks (under revision). Abstract Hyperspectral images contain a large amount of information that can be used to improve the classification accuracy. This information is both spatial and spectral. Recently, deep learning techniques based on Convolutional Neural Networks (CNN) have started to be used for classification of hyperspectral images. In this paper we…

hyfm-reg

anonymous@undisclosed.example.com (Anonymous) — Wed, 09 Nov 2016 12:42:56 +0000

Hyperspectral Fourier-Mellin algorithm (HYFM) Experimental results related to the paper Fourier-Mellin registration of two hyperspectral images by Álvaro Ordóñez, Francisco Argüello, and Dora B., that it is under revision. Abstract Hyperspectral images contain a great amount of information which can be used to more robustly register such images. In this paper, we present a phase correlation method to register two hyperspectral images that takes into account their multiband structure. The pro…

hyperview

anonymous@undisclosed.example.com (Anonymous) — Fri, 04 Nov 2016 15:50:02 +0000

HypeRvieW: an open source desktop application for hyperspectral remote-sensing data processing This is a repository of supplementary information related to the paper entitled “HypeRvieW: an open source desktop application for hyperspectral remote-sensing data processing” published in the

line-matching

anonymous@undisclosed.example.com (Anonymous) — Wed, 02 Dec 2015 11:07:06 +0000

Download: GitLab repository: ---------- Contents: - Executables: Command-line executables for line detection and matching algorithms. Reference: Two-view line matching algorithm based on context and appearance in low-textured images. Pattern Recognition Volume 48, Issue 7, July 2015, Pages 2164–2184

pollen_grains

anonymous@undisclosed.example.com (Anonymous) — Mon, 10 Feb 2014 16:36:31 +0000

Pollen Grains This dataset includes inputs which are shape and texture features extracted from microscopical images of pollen grains in the air. The classes are the plant species (Parietaria Judaica, Urtica Urens and Urtica Membranacea). The dataset has:

scab

anonymous@undisclosed.example.com (Anonymous) — Mon, 10 Feb 2014 16:36:25 +0000

Scab This dataset includes bands of infrared hyperspectral imaging data of potatoes, and the class is 0 (resp. 1) when scab is absent (resp. present). The dataset has: * 126 instances * 256 inputs * 2 classes The data are in the file scab.dat. Each input is standarized with mean zero and standard deviation one. The file partitions.dat includes 10 groups of 3 lines, each group associated to a random partition of the available data. The first line in each group contains the indices of the…

split_and_merge

anonymous@undisclosed.example.com (Anonymous) — Sat, 15 Nov 2014 17:49:26 +0000

The Split-And-Merge Method in General Purpose Computation on GPUs Code related to the paper The split-and-merge method in general purpose computation on GPUs by F. Argüello, D.B. Heras, M. Bóo, and J. Lamas-Rodríguez, published in Parallel Computing, Volume 38, Issues 6-7, June-July 2012, Pages 277-288. DOI: 10.1016/j.parco.2012.03.003

ws-random-qos

anonymous@undisclosed.example.com (Anonymous) — Tue, 02 Jun 2015 10:44:23 +0000

Web Service Composition Datasets

wt-emp-gpu

anonymous@undisclosed.example.com (Anonymous) — Tue, 24 Feb 2015 18:09:42 +0000

Wavelet Based Classification of Hyperspectral Images using Extended Morphological Profiles on Graphics Processing Units Additional information and results related to the paper Wavelet Based Classification of Hyperspectral Images using Extended Morphological Profiles on Graphics Processing Units by Pablo Quesada-Barriuso, Francisco Argüello, Dora B. Heras, and Jón Atli Benediktsson, published in the