[visionlist] Computer Vision and Image Understanding, Special Issue on Image and Video Understanding in Big Data

Please, note the publication of the following
CVIU special issue:Image and Video Understanding in Big Data Volume 156, Pages 1-186, March 2017Edited by: Vittorio Murino, Shaogang Gong, Chen Change Loy and Loris
Bazzani
More info, the Editorial (link)
and the list of papers are provided in the following.
==========================================================

Computer Vision and Image
Understanding
Special Issue on Image and Video Understanding in Big Data

About This Special Issue

The big data era has brought with it new challenges to
computer vision and image understanding. More scalable and
robust methods are required to efficiently index, retrieve,
organize and interact with big visual data. One can only think
to the amount of image/video data downloaded every minute in
social media or to the number of surveillance cameras
installed in our cities nowadays. Both cases are not
manageable without automatic or semi-automatic (e.g.,
human-in-the-loop) approaches capable of distill useful
information from a large quantity of raw data. This special
issue covers a wide range of topics, with a common denominator
devoted to the analysis for understanding of images and
videos. Some of these papers are extended versions of the best
works presented at the International Conference on Image
Analysis and Processing ICIAP
2015, held in Genova in September 2015.

Access

The issue is available electronically on Science Direct at
the following link: http://ift.tt/2lXIUoG

Table of Contents

Image and Video Understanding
in Big Data Vittorio Murino, Shaogang Gong, Chen
Change Loy, Loris Bazzani PDF

MEG: Texture Operators for
Multi-Expert Gender Classification Modesto Castrillón Santana, Maria De
Marsico, Michele Nappi, Daniel Riccio

Boosting Hankel Matrices for
Face Emotion Recognition and Pain Detection Liliana Lo Presti, Marco La Cascia

Social Profiling through
Image Understanding: Personality Inference using
Convolutional Neural Networks Cristina Segalin, Dong Seon Cheng,
Marco Cristani

Structured Learning of Metric
Ensembles with Application to Person Re-Identification Sakrapee Paisitkriangkrai, Lin Wu,
Chunhua Shen, Anton van den Hengel

Continuous Adaptation of
Multi-Camera Person Identification Models through Sparse
Non-redundant Representative Selection Abir Das, Rameswar Panda, Amit K
Roy-Chowdhury

A Bag-of-Words Equivalent
Recurrent Neural Network for Action Recognition Alexander Richard, Juergen Gall

Improved Scene Identification
and Object Detection on Egocentric Vision of Daily
Activities Gonzalo Vaca-Castano, Samarjit Das,
Joao P Sousa, Niels D. Lobo, Mubarak Shah

Fast Action Retrieval from
Videos via Feature Disaggregation Jie Qin, Li Liu, Mengyang Yu, Yunhong
Wang, Ling Shao

Detecting Anomalous Events in
Videos by Learning Deep Representations of Appearance
and Motion Dan Xu, Yan Yan, Elisa Ricci, Nicu
Sebe

Deep Active Object
Recognition by Joint Label and Action Prediction Mohsen Malmir, Karan Sikka, Deborah
Forster, Ian Fasel, Javier R Movellan, Garrison W Cottrell

Weak Supervision for
Detecting Object Classes from Activities Abhilash Srikantha, Juergen Gall

Efficient Large-Scale
Multi-Class Image Classification By Learning Balanced
Trees Tien-Dung Mai, Thanh Duc Ngo,
Duy-Dinh Le, Duc Anh Duong, Kiem Hoang, Shin’ichi Satoh

Online Supervised Hashing Fatih Cakir, Sarah A Bargal, Stan
Sclaroff

Scalable Greedy Algorithms
for Transfer Learning Ilja Kuzborskij, Francesco Orabona,
Barbara Caputo

Guest Editors

Vittorio Murino,
Istituto Italiano di Tecnologia, Genova/University of Verona,
Verona, Italy Shaogang Gong,
Queen Mary University of London, UK Chen Change Loy,
The Chinese University of Hong Kong, China Loris Bazzani
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