Image and Video Understanding in Big Data

in Special Issue   Posted on September 1, 2015 

Information for the Special Issue

Special Issue Call for Papers:

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. Submissions are invited for contributions from both established and new trends in computer vision, pattern recognition and image processing, addressing either theoretical or application challenges, with a particular emphasis on the following themes:

• Video Analysis & Understanding

• Multi-view Geometry and 3D Computer Vision

• Learning for Image and Video Recognition

• Image Analysis, Detection and Recognition

• Application Systems for Big Visual Data Understanding

This special issue is linked to the 18th International Conference on Image Analysis and Processing, ICIAP 2015, a well-established conference series organized biennially by the Italian Member Society (GIRPR) of the International Association for Pattern Recognition (IAPR).

The special issue will collect the extended versions of the best papers of the conference. Additional papers are invited for original contributions to the following extended topics of interest.

Topics of Interest

Video Analysis & Understanding

Object detection and tracking

Classification and recognition (objects, categories, events)

Activity recognition

Behavior analysis

Video content analysis

Video segmentation

Video summarization

Search and retrieval

Multi-sensor and multi-modal fusion

Multiview Geometry and 3D Computer Vision

Image-based modeling

Interactive modeling

Multi-view stereo

Structure from motion

Calibration and pose estimation

3D reconstruction

3D cameras and sensors

3D shape retrieval and recognition

3D television

Learning for Image and Video Recognition

Deep learning and neural network models

Kernel methods and support vector machines

Similarity-based methods

Unsupervised learning

Semi-supervised learning

Reinforcement learning

Weakly-supervised learning

Ensemble methods and multiple-classifier systems

Dimensionality reduction and manifold learning

Structural pattern recognition

Active learning

Transfer learning

Online learning

Spatio-temporal pattern recognition

Image Analysis, Detection and Recognition

Coding, processing and transmission of images and multidimensional signals

Mathematical and statistical representation of images and multidimensional signals

Perceptual representation and rendering of images and multidimensional signals

Recognition: detection, categorization, indexing, matching

Scene reconstruction and modeling

Scene analysis and recognition

Scene and image classification

Scene understanding

Object class detection and recognition

Semantic image segmentation

Image indexing and retrieval

Large-scale visual recognition

Fine-grained recognition

Application Systems for Big Visual Data Understanding

Biomedical image analysis and interpretation

Video Surveillance


Remote Sensing


Face and gesture recognition

Text and graphics recognition

Paper Submission

Papers should be submitted electronically using the Elsevier CVIU submission system

Preparation of the manuscript must follow the Guide for Authors which is available at

To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important to select SI: Image/Video Understanding when you reach the “Article Type” step in the submission process.

Important Dates

Submission deadline: 5 December 2015

First round decisions: 15 April 2016

Revision deadline: 30 May 2016

Final Round Decisions: 15 September 2016

Online Publication: December 2016

More and updated information can be found on

Guest Editors

Vittorio Murino, Istituto Italiano di Tecnologia/University of Verona, Italy

Shaogang Gong, Queen Mary University of London, UK

John R. Smith, IBM T. J. Watson Research Center, USA

Chen Change Loy, The Chinese University of Hong Kong, China

Loris Bazzani, The Dartmouth College, USA

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