ACM TOMM Call for Papers

ACM TOMM Call for Papers

Special Issue on Multimedia Cognitive Computing for Intelligent Transportation System

Motivation and Scope

Intelligent Transportation Systems (ITS) is a typical class of applying Artificial Intelligence (AI) in transportation field to resolve transportation management and control tasks. ITS has received extensive attention from the transportation sector and different industries and businesses due to the unprecedented opportunities it provided for solving traffic problems. With the development of big data and Internet of things (IoT), traffic big data, which is actually heterogeneous multimedia data (e.g., images, videos and text) from the traffic flow, human movement, and social media, is becoming more and more accessible. Thus, developing multimedia cognitive computing technologies is an efficient and effective solution for understanding and simulating human behaviors, analyzing traffic trajectories, forecasting traffic patterns and trends, and investigating points-of-interest and hotspots, alleviating transportation issues, such as traffic big data processing and analytics with the video and trajectory data. However, it also faces many challenges due to the special characteristics of multimedia data, and complexity in human behaviors, and diversity of trajectory patterns in ITS, such as spatial-temporal properties, cognitive and behavioral modelling, evidence-based decision making. It is necessary to propose more new methods for further research based on the relevant application scenarios of ITS. Multimedia cognitive computing technologies have flourished in almost all aspects of ITS. Therefore, there is a growing demand for developing and designing new multimedia cognitive computing methods and applications for ITS, especially in current deep learning and multimedia big data era. This special issue aims to provide a forum for scientists and engineers working in academia, industry and government to present their latest research findings and engineering experiences on multimedia cognitive computing technologies for ITS.

Topics

Topics of interest include but are not limited to:

• Advanced multimedia cognitive computing methods and applications in ITS

• Multimedia data mining and representation learning in ITS

• Spatio-temporal multimedia data analysis

• Real-time multimedia data modeling in ITS

• Multimedia data interaction across devices and domains in ITS

• Cross-modality traffic big data fusion with deep networks

• Multimedia cognitive computing technologies in intelligent monitoring security

• System of ITS

• Multimedia data sharing and collaborative management in ITS

• Knowledge discovery and pattern recognition from multimedia data in ITS

• Multi-modality computing and behavioral analytics, simulating and decision-support

• Multimedia data of ITS collections, benchmarking and evaluation metrics

• The multimedia cognitive computing system for traffic data retrieval, detection and recognition

Review Process

The review process will comply with the standard review process of the ACM TOMM journal. Each paper will receive at least three reviews from experts in the field. Submission Instructions Prospective authors are invited to submit their manuscripts electronically after the “open for submissions” date, adhering to the ACM TOMM journal guidelines (see https://tomm.acm.org/authors.cfm). Please submit your papers through the online system (https://mc.manuscriptcentral.com/tomm) and be sure to select the special issue in the TOMM Manuscript Central Website. Manuscripts should not be published or currently submitted for publication elsewhere. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. If the submission is an extended work of a previously published conference paper, please include the original work and a cover letter describing the changes that have been made. According to ACM TOMM publication policy previously published conference papers can be eligible for publication provided that at least 25% new material is included in the journal version.

Important Dates
Submission deadline	April 30, 2022
First notification	May 31, 2022
Revision submission	July 31, 2022
Notification of acceptance	September 30, 2022
Online publication	December, 2022

Guest Editors

Prof. Shaohua Wan (Corresponding GE), Zhongnan University of Economics and Law, China.

Prof. Yi Jin, Beijing Jiaotong University, China.

Prof. Guangdong Xu, University of Technology Sydney, Australia.

Prof. Michele NAPPI, University of Salerno, Italy.