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Front Cover IEEE Multimed. (IF 4.962) Pub Date : 2020-11-23
Presents the front cover for this issue of the publication.
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HOST 2020 IEEE Multimed. (IF 4.962) Pub Date : 2020-11-23
Presents information on the HOST 2020 conference.
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Table of Contents IEEE Multimed. (IF 4.962) Pub Date : 2020-11-23
Presents the table of contents for this issue of the publication.
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Masthead IEEE Multimed. (IF 4.962) Pub Date : 2020-11-23
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Get Published in the New IEEE Open Journal of the Computer Society IEEE Multimed. (IF 4.962) Pub Date : 2020-11-23
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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Momentous Years of Recognition IEEE Multimed. (IF 4.962) Pub Date : 2020-11-23 Shu-Ching Chen
Presents the introductory editorial for this issue of the publication.
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Big Cross-Modal Social Media Data Analytics With Deep Intelligence IEEE Multimed. (IF 4.962) Pub Date : 2020-11-23 Yang Wang; Meng Fang; Joey Tianyi Zhou; Tingting Mu; Dacheng Tao
The thirteen papers in this special section focus on social media data analytics with deep intelligence. Big cross-model social media data analytics with deep intelligence aims to handle data sampling from multimodal deep spaces, so as to well characterize the big data. The addressed topic span from the range of human action recognition to affective computing, disaster detection, classification, retrieval
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Toward Sensing Emotions With Deep Visual Analysis: A Long-Term Psychological Modeling Approach IEEE Multimed. (IF 4.962) Pub Date : 2020-09-18 Xiao Sun; Yezhen Song; Meng Wang
With the current global outbreak of COVID-19, an increasing number of people are suffering from negative mental states and mental disorders. We propose a multimodal psychological computational technology in a universal environment. We establish a mental health database following a naturalistic paradigm as well as a long-term ubiquitous interpretable psychological computing model based on prior knowledge
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An End-to-End Framework for Clothing Collocation Based on Semantic Feature Fusion IEEE Multimed. (IF 4.962) Pub Date : 2020-09-17 Mingbo Zhao; Yu Liu; Xianrui Li; Zhao Zhang; Yue Zhang
In this article, we develop an end-to-end clothing collocation learning framework based on a bidirectional long short-term memories (Bi-LTSM) model, and propose new feature extraction and fusion modules. The feature extraction module uses Inception V3 to extract low-level feature information and the segmentation branches of Mask Region Convolutional Neural Network (RCNN) to extract high-level semantic
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IEEE Computer Society Has You Covered! IEEE Multimed. (IF 4.962) Pub Date : 2020-11-23
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IEEE Computer Society IEEE Multimed. (IF 4.962) Pub Date : 2020-11-23
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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MVIIDroid: A Multiple View Information Integration Approach for Android Malware Detection and Family Identification IEEE Multimed. (IF 4.962) Pub Date : 2020-09-08 Qing Wu; Miaomiao Li; Xueling Zhu; Bo Liu
With the rapid growth of Android applications, there is an urgent need for powerful Android malware detection technology nowadays. Existing classification models can be summarized with the following two steps-feature extraction and classification model learning. To further enhance the representation ability of existing classification models, this article presents an Android malicious application detection
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Multilabel Text Classification With Incomplete Labels: A Safe Generative Model With Label Manifold Regularization and Confidence Constraint IEEE Multimed. (IF 4.962) Pub Date : 2020-09-07 Yuanyuan Guan; Ximing Li
In multilabel text classification, the label information of training instances may be incomplete due to various factors, such as expensively manual labeling, errors, etc. Hence, imposing big challenges to training classifiers. To tackle the problem of the incomplete labels, we proposed to exploit label correlations, and further jointly leverage manifold regularization and label confidence constraint
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Front Cover IEEE Multimed. (IF 4.962) Pub Date : 2020-09-03
Presents the front cover for this issue of the publication.
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IEEE Computer Society Has You Covered! IEEE Multimed. (IF 4.962) Pub Date : 2020-09-03
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Table of Contents IEEE Multimed. (IF 4.962) Pub Date : 2020-09-03
Presents the table of contents for this issue of the publication.
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Masthead IEEE Multimed. (IF 4.962) Pub Date : 2020-09-03
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Evolving Career Opportunities Need Your Skills IEEE Multimed. (IF 4.962) Pub Date : 2020-09-03
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Shaping Our Common Digital Future IEEE Multimed. (IF 4.962) Pub Date : 2020-09-03 Susanne Boll
Presents the introductory editorial for this issue of the publication.
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Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications IEEE Multimed. (IF 4.962) Pub Date : 2020-09-03 Weiqing Min; Yonghong Tian; Zi Huang; Wen-Huang Cheng; Abdulmotaleb El Saddik
The papers in this special section focus on the topic of urban multimedia computing. Presents emerging methods in multimedia computing for urban analysis and applications. Urban computing is a process of acquisition, integration, analysis, and understanding of the urban data generated from various sources, e.g., sensors, devices, and social media, for various applications. Multimedia computing plays
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Domain Adaptation With Foreground/Background Cues and Gated Discriminators IEEE Multimed. (IF 4.962) Pub Date : 2020-07-10 Yong-Xiang Lin; Daniel Stanley Tan; Yung-Yao Chen; Ching-Chun Huang; Kai-Lung Hua
Self-driving cars leverage on semantic segmentation to understand an urban scene. However, it is costly to collect segmentation labels, thus, synthetic datasets are used to train segmentation models. Unfortunately, the synthetic to real domain shift causes these models to perform poorly. Prior works use adversarial training to align features of both synthetic and real-world images. We observe that
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Wall Screen: An Ultra-High Definition Video-Card for the Internet of Things IEEE Multimed. (IF 4.962) Pub Date : 2020-07-23 Miguel Costa; Ricardo Moreira; Jorge Cabral; José Dias; Sandro Pinto
8 k ultra-high definition (UHD) is paving the way for the next-generation video systems. In the audiovisual industry, besides delivering a more immersive experience, it is a mean to smooth spatial artifacts during video sampling. In the medical industry, it may provide surgeons with increased reality in surgeries such as endoscopy. Nevertheless, researchers are struggling to meet the high throughput
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Erratum to “Leveraging Smart Devices for Scene Text Preserved Image Stylization: A Deep Gaming Approach” IEEE Multimed. (IF 4.962) Pub Date : 2020-09-03
Presents corrections to affiliation information for the above named article.
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Get Published in the new IEEE Open Journal of the Computer Society IEEE Multimed. (IF 4.962) Pub Date : 2020-09-03
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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IEEE Computer Society IEEE Multimed. (IF 4.962) Pub Date : 2020-09-03
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Deep Residual Split Directed Graph Convolutional Neural Networks for Action Recognition IEEE Multimed. (IF 4.962) Pub Date : 2020-09-04 Bo Fu; Shilin Fu; Liyan Wang; Yuhan Dong; Yonggong Ren
Human action recognition is the basis technology of human behavior understanding, and it is a research hotspot in the field of computer vision. Recently, some studies show skeleton data (i.e., joint points and edges) is naturally more conducive to mining the connotation of human action, so exploring the relationship between joints and bones is helpful to improve action recognition. In this article
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Anchor-Based Multiview Subspace Clustering With Diversity Regularization IEEE Multimed. (IF 4.962) Pub Date : 2020-08-28 Qiyuan Ou; Siwei Wang; Sihang Zhou; Miaomiao Li; Xifeng Guo; En Zhu
Multiview clustering has attracted much attention due to its ability to aggregate various source information and many advanced approaches have been proposed in the literature. However, there are still two major issues that need to be further explored: i) how to efficiently handle large-scale data; ii) how to effectively incorporate the complementary multiple sources. In this article, we fulfill a unified
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Image Retrieval via Gated Multiscale NetVLAD for Social Media Applications IEEE Multimed. (IF 4.962) Pub Date : 2020-08-14 Yunyin Cao; Jian Zhang; Jun Yu
Image retrieval on the social media platforms propels the tourism information sharing on the Internet. Existing image retrieval methods lack the capability of discovering global statistical distribution of feature representations at multiple scales. In this article, we propose a gated multiscale NetVLAD network, which constructs feature pyramid network based on ResNet backbone and computes NetVLAD
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Adversarial Learning-Based Semantic Correlation Representation for Cross-Modal Retrieval IEEE Multimed. (IF 4.962) Pub Date : 2020-08-11 Lei Zhu; Jiayu Song; Xiaofeng Zhu; Chengyuan Zhang; Shichao Zhang; Xinpan Yuan
Cross-modal retrieval has become a hot issue in past years. Many existing works pay attentions on correlation learning to generate a common subspace for cross-modal correlation measurement, and others use adversarial learning technique to abate the heterogeneity of multimodal data. However, very few works combine correlation learning and adversarial learning to bridge the intermodal semantic gap and
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WarpClothingOut: A Stepwise Framework for Clothes Translation From the Human Body to Tiled Images IEEE Multimed. (IF 4.962) Pub Date : 2020-08-04 Haijun Zhang; Xinghao Wang; Linlin Liu; Dongliang Zhou; Zhao Zhang
With the increasing popularity of online shopping, searching for products with images for item retrieval has gradually become an effective approach. This trend is especially evident in the fashion industry. In common media, clothing items are usually worn on the human body. They can be straightforwardly segmented from the source media by utilizing detection or parsing algorithms. However, this may
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Detecting Disaster-Related Tweets Via Multimodal Adversarial Neural Network IEEE Multimed. (IF 4.962) Pub Date : 2020-07-31 Wang Gao; Lin Li; Xun Zhu; Yuwei Wang
Recently, during natural disasters, the use of social media as a source of actionable information has increased significantly. Finding disaster-related tweets and analyzing their textual content and images can help government agencies and rescue organizations make better decisions. The main challenge of disaster-related message detection on social networking sites is how to identify posts related to
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Incremental Clustering With Hard Centers IEEE Multimed. (IF 4.962) Pub Date : 2020-07-07 Jing Zhang; Tianzhen Chen; Yong Zhang
FU-PCM is an effective clustering mode by inducing the regularization constraint in C-means to avoid the interference of noises and outliers. However, it is difficult to obtain the satisfactory performance in the context of imbalance category distribution. To address above problem, first, we propose a novel clustering model, which exploits Pearson Correlation Coefficient to auto-balance the optimal
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Style Transfer of Urban Road Images Using Generative Adversarial Networks With Structural Details IEEE Multimed. (IF 4.962) Pub Date : 2020-06-22 Yaochen Li; Xiao Wu; Danhui Lu; Ling Li; Yuehu Liu; Li Zhu
To evaluate the driving behavior of unmanned vehicles, the testing of driving algorithms using urban road images is necessary. In this article, we propose a framework using generative adversarial networks (GANs) with structural information for image style transfer: StructureGAN and GradientGAN. Different types of urban image transfers are generated using the proposed framework, such as day to night
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An Effective Approach for Nonrigid Structure From Motion With Complex Deformation IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12 Xia Chen; Zhan-Li Sun; Zhigang Zeng; Kin-Man Lam
In this article, an effective approach is proposed for nonrigid structure from motion to deal with the image sequence with a complex deformation. In the proposed method, a three-dimensional (3-D) structure is first divided into multiple local trajectory groups by utilizing the distance weights of the pairwise points. For each local trajectory group, a weak estimator is constructed by means of the kernel
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Front Cover IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12
Presents the front cover for this issue of the publication.
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IEEE Computer Society Has You Covered! IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12
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Table of Contents IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12
Presents the table of contents for this issue of the publication.
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Masthead IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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HONORING WOMEN IN COMPUTING: Call for Nominations IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12
Presents a call for nominations for the CS event, Honoring Women in Compting.
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Multimedia Data Privacy Against Machines IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12 Mohan Kankanhalli
With the explosion of multimedia data, machine learning applications are proliferating. Privacy concerns have recently resurfaced, due to a few prominent incidents of user data leakage, which divulged sensitive information to other people. Multimedia data platform providers––social networks, their affiliates or governments with access to users’ content––use algorithms to profile users by extracting
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Legal and Ethical Challenges in Multimedia Research IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12 Vivek K. Singh; Elisabeth André; Susanne Boll; Mireille Hildebrandt; David A. Shamma
Multimedia research has long moved beyond laboratory experiments and is being rapidly deployed in real-life applications including advertisements, search, security, automated driving, and healthcare. Hence, the developed algorithms now have a direct impact on the individuals using the abovementioned services and the society as a whole. While there is a huge potential to benefit the society using such
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Artificial Intelligence Fights Crime and Terrorism at a New Level IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12 Bogdan Ionescu; Marian Ghenescu; Florin Răstoceanu; Răzvan Roman; Marian Buric
High expansion of urban population and infrastructure complemented by recent geopolitical world events, triggered an increasingly alarming number of threats. Law enforcement authorities are now challenged to redesign societal security concepts. Although current technological advances eased the information access, e.g., via video surveillance cameras, satellite data, drones, wearables, manual analysis
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HOST 2020 IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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IEEE Computer Society Volunteer Service Awards IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12
Presents the recipients of the CS society Volunteer Service awards.
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Call for Papers: IEEE Transactions on Computer IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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IEEE Computer Society IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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IEEE QUANTUM WEEK IEEE Multimed. (IF 4.962) Pub Date : 2020-06-12
Presents information on the CS IEEE Quantum Week.
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Attribute-Guided Feature Learning Network for Vehicle Reidentification IEEE Multimed. (IF 4.962) Pub Date : 2020-06-02 Huibing Wang; Jinjia Peng; Dongyan Chen; Guangqi Jiang; Tongtong Zhao; Xianping Fu
Vehicle reidentification (reID) targets at matching same vehicle images captured from multicameras, which has become a hot topic in recent years. However, it poses the critical but challenging problem that is caused by complicated environments and diversified illuminations. Inspired by the benefit of attributes that contain detailed descriptions, this article proposes a novel attribute-guided network
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PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification IEEE Multimed. (IF 4.962) Pub Date : 2020-06-02 Yue Zhang; Yi Jin; Jianqiang Chen; Shichao Kan; Yigang Cen; Qi Cao
The block-based representation learning method has been proven to be a very effective method for person reidentification (Re-ID), but the features extracted by the existing block-based approach tend to have a high correlation among different blocks. Also, these methods perform less well for persons with large posture changes. Thus, part-based nondirect coupling representation learning method is proposed
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Learning Quintuplet Loss for Large-Scale Visual Geolocalization IEEE Multimed. (IF 4.962) Pub Date : 2020-05-25 Qiang Zhai; Rui Huang; Hong Cheng; Huiqin Zhan; Jun Li; Zicheng Liu
With the maturity of artificial intelligence technology, large-scale visual geolocalization (LSVGL) is increasingly important in urban computing, where the task is to accurately and efficiently recognize the geolocation of a given query image. The main challenge of LSVGL faced by many experiments due to the appearance of real-word places may differ in various ways while perspective deviation almost
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Compression-Then-Encryption-Based Secure Watermarking Technique for Smart Healthcare System IEEE Multimed. (IF 4.962) Pub Date : 2020-05-14 Ashima Anand; Amit Kumar Singh; Zhihan Lv; Guarav Bhatnagar
The smart healthcare system is an electronic patient records (EPR) sharing system, which significantly helps sharing of EPR data and provides appropriate medical assistance for the patients and a more suitable platform for the potential researchers. However, the security of EPR data is still a major issue in such systems. In this paper, we develop a compression-then-encryption-based dual watermarking
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Key-Point Sequence Lossless Compression for Intelligent Video Analysis IEEE Multimed. (IF 4.962) Pub Date : 2020-04-28 Weiyao Lin; Xiaoyi He; Wenrui Dai; John See; Tushar Shinde; Hongkai Xiong; Lingyu Duan
Feature coding has been recently considered to facilitate intelligent video analysis for urban computing. Instead of raw videos, extracted features in the front-end are encoded and transmitted to the back-end for further processing. In this article, we present a lossless key-point sequence compression approach for efficient feature coding. The essence of this predict-and-encode strategy is to eliminate
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Joint Watermarking-Encryption-ECC for Patient Record Security in Wavelet Domain IEEE Multimed. (IF 4.962) Pub Date : 2020-04-27 Ashima Anand; Amit Kumar Singh
Maintaining electronic patient records is the primary role for the fruitful implementation of the telehealth services in urban areas to enhance the quality of healthcare. These records frequently shared in-between professionals and healthcare centers so as to develop efficient tool(s) for accurate diagnosis purpose. However, protection of these records is a challenging task in the current era. In this
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Leveraging Smart Devices for Scene Text Preserved Image Stylization: A Deep Gaming Approach IEEE Multimed. (IF 4.962) Pub Date : 2020-04-23 Randheer Bagi; Sabyasachi Mohanty; Tanima Dutta; Hari Prabhat Gupta
With the rapid advancement of real-time rendering quality in digital art, the use of computer vision techniques has become popular in producing aesthetically pleasing stylized images of natural scenes. However, the processing time to produce a stylized image is high, especially in resource-constrained environments, such as smart devices. Most stylized imaging approaches are unable to preserve the fine
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Front Cover IEEE Multimed. (IF 4.962) Pub Date : 2020-03-27
Presents the front cover for this issue of the publication.
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Computing edge IEEE Multimed. (IF 4.962) Pub Date : 2020-03-27
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Table of Contents IEEE Multimed. (IF 4.962) Pub Date : 2020-03-27
Presents the table of contents for this issue of the publication.
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Masthead IEEE Multimed. (IF 4.962) Pub Date : 2020-03-27
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
Contents have been reproduced by permission of the publishers.