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Special issue on deep learning in image and video retrieval

Ard Oerlemans, Yanming Guo, Michael S. Lew, Tat-Seng Chua
2020 International Journal of Multimedia Information Retrieval  
This special issue aims to capture the state of the art in deep learning in the context of image and video retrieval.  ...  The paper "Single Image Crowd Counting: A Comparative Survey on Deep Learning-based Approaches" by V. Nguyen and T.D.  ...  This special issue aims to capture the state of the art in deep learning in the context of image and video retrieval.  ... 
doi:10.1007/s13735-020-00194-y fatcat:5c75uxy2cbfavilizrmmtv5qra

Learning for 3D understanding

Yue Gao, Rongrong Ji, Wei Liu, Qionghai Dai
2015 Neurocomputing  
In this special issue, we target at introducing cutting-edge learning algorithms and techniques for 3D object and scene understanding, such as 3D semantic analysis, 3D object retrieval and recognition  ...  We believe it is the time to organize a special issue on such a topic. The primary objective of this special issue fosters focused attention on the latest research progress in this interesting area.  ... 
doi:10.1016/j.neucom.2014.10.052 fatcat:tg6ne6pdwrdrlc3np2k2lik4va

Introduction to the Special Issue on Deep Learning for Multi-Modal Intelligence Across Speech, Language, Vision, and Heterogeneous Signals

Xiaodong He, Li Deng, Richard Rose, Minlie Huang, Isabel Trancoso, Chao Zhang
2020 IEEE Journal on Selected Topics in Signal Processing  
This special issue brings together a diverse but complementary set of contributions on emerging deep learning methods for problems based on multiple modalities including speech, text, image and video.  ...  Introduction to the Special Issue on Deep Learning for Multi-Modal Intelligence Across Speech, Language, Vision, and Heterogeneous Signals T HANKS to the disruptive advances in deep learning, significant  ... 
doi:10.1109/jstsp.2020.2989852 fatcat:xlcv7jzkbvfirbbmrh4fpmtyxm

Special issue on content-based multimedia indexing in the era of artificial intelligence

Stevan Rudinac, Jenny Benois-Pineau, Stephane Marchand-Maillet
2021 Multimedia tools and applications  
Recent advances in artificial intelligence (AI) and, in particular, deep learning have given a new boost to practically every aspect of multimedia research.  ...  In addition, they demonstrate that the recent breakthroughs in deep learning have further reinforced synergistic collaboration between multimedia and related fields, from computer vision and information  ...  In this paper the authors propose an approach to video keyframe extraction based on image suitability for reliable face recognition.  ... 
doi:10.1007/s11042-021-10923-y fatcat:3pb4xekvuvatdifm33dkbw7bzy

Special issue on smart cameras for real-time image and video processing

Caifeng Shan, Victor Manuel Brea, Senem Velipasalar
2020 Journal of Real-Time Image Processing  
The goal of this special issue is to present and highlight the latest developments in the smart camera community with the focus being on the real-time aspects of image and video processing.  ...  Thanks to the convergence of relevant technologies such as imaging sensors, embedded systems, video analytics and deep learning, this field is currently undergoing a rapid development.  ...  We hope that you will enjoy this collection of articles, and that this special issue can spark and stimulate further research and development in this area.  ... 
doi:10.1007/s11554-020-01006-6 fatcat:d3g5hvg5q5hzzfqqj3zbpb4tre

Editorial for the ICMR 2018 special issue

Benoit Huet, Qi Tian, Keiji Yanai
2019 International Journal of Multimedia Information Retrieval  
The experiments presented expose stateof-the-art results on the MSVD dataset for the video retrieval task and the caption retrieval task.  ...  In "Mining Exoticism from Visual Content with Fusionbased Deep Neural Networks", Ceroni et al. explore the novel problem of identifying exotic images.  ... 
doi:10.1007/s13735-019-00168-9 fatcat:irnfud2fszbq7mx25pno73b2sm

Editorial for special issue on "Advanced Topics in Document Analysis and Recognition"

Cheng-Lin Liu, Andreas Dengel, Rafael Dueire Lins
2019 International Journal on Document Analysis and Recognition  
First, a deep learning pipeline is proposed for detecting handwritten text, formulae and sketches and binarizing the extracted content in video frames.  ...  We also want to thank the Editors-in-Chief of "International Journal on Document Analysis and Recognition" for giving us an opportunity to guest-edit this special issue and their helps in managing the  ... 
doi:10.1007/s10032-019-00342-z fatcat:t4f7ruobrbf47hvudczsrg4r2q

Guest Editorial Multimodal Modeling and Analysis Informed by Brain Imaging—Part I

2015 IEEE Transactions on Autonomous Mental Development  
techniques, and deep learning techniques.  ...  This special issue mainly focuses on the synergistic combinations of cognitive neuroscience, brain imaging, and multimedia analysis.  ... 
doi:10.1109/tamd.2015.2495698 fatcat:j32qqqtiwjhktacprjgrf5prt4

Editorial for the ICMR 2016 special issue

Susanne Boll, Winston Hsu, Jiebo Luo
2017 International Journal of Multimedia Information Retrieval  
, comparison, retrieval, and presentation of image, video, audio, and text working together on diverse platforms.  ...  These papers, representing advanced and diverse themes in the multimedia retrieval community, highlight the timely works for several active aspects ranging from deep learning methods for fine-grained video  ... 
doi:10.1007/s13735-017-0119-x fatcat:v7niozfh2rd73gahh2adh26n64

Learning Compact Spatio-Temporal Features for Fast Content based Video Retrieval

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
In this paper we propose a fast content based video retrieval framework using compact spatio-temporal features learned by deep learning.  ...  Specifically, deep CNN along with LSTM is deploy to learn spatio-temporal representations of video. For fast retrieval, binary code is generated by hashing learning component in the framework.  ...  CONCLUSION AND FUTURE WORK This paper presents a framework of fast content based video retrieval via deep learning with hashing.  ... 
doi:10.35940/ijitee.b7847.129219 fatcat:36mq4rbyv5h6zal2jswieedd2q

Special Issue on Content Based Multimedia Indexing

Yiannis Kompatsiaris, Guillaume Gravier
2017 Multimedia tools and applications  
The Guest Editors, Yiannis Kompatsiaris Information Technologies Institute, Centre for Research and Technology Hellas, Thermi-Thessaloniki, Greece E-mail address: ikom@iti.gr Guillaume Gravier IRISA &  ...  This special issue focuses on the recent advances in contentbased multimedia indexing core technology--e.g., understanding deep learning architectures, using formal knowledge and ontologies, putting the  ...  CBMI 2016 included a special session on "Content-based image and multimedia analysis and indexing for healthcare" and three papers from the special session appear in this issue addressing real-time analysis  ... 
doi:10.1007/s11042-017-5106-y fatcat:gm7ww23nkzej7efy23zifbotky

Vision and Language Integration Meets Multimedia Fusion

Marie-Francine Moens, Katerina Pastra, Kate Saenko, Tinne Tuytelaars
2018 IEEE Multimedia  
Recent advances in deep learning have opened up new opportunities in joint modeling of visual and co-occurring verbal information in multimedia.  ...  This is due to the fact that one modality can greatly assist in processing another by providing cues for disambiguation, complementary information, and noise/error filtering.  ...  ACKNOWLEDGMENT We thank all the reviewers who contributed to the selection of articles for this special issue.  ... 
doi:10.1109/mmul.2018.023121160 fatcat:g2zcgejxpfg75jawrdjqofdaqq

Guest Editorial Multimedia Computing With Interpretable Machine Learning

Y. Tian, C. Snoek, J. Wang, Z. Liu, Lienhart, S. Boll
2020 IEEE transactions on multimedia  
Digital Object Identifier 10.1109 /TMM.2020 The goal of this special issue is to broadly engage the machine learning and multimedia communities on the emerging yet challenging interpretable machine learning  ...  Strictly speaking, for example, some papers in this special issue cannot be regarded as interpretable machine learning methods.  ... 
doi:10.1109/tmm.2020.2991292 fatcat:mdwlpuwarvdtrfiofjbi2j4hu4

Special Issue on Advances in Deep Learning

Diego Gragnaniello, Andrea Bottino, Sandro Cumani, Wonjoon Kim
2020 Applied Sciences  
Nowadays, deep learning is the fastest growing research field in machine learning and has a tremendous impact on a plethora of daily life applications, ranging from security and surveillance to autonomous  ...  driving, automatic indexing and retrieval of media content, text analysis, speech recognition, automatic translation, and many others.[...]  ...  We thank all authors, and we hope that, no matter what the final decisions of the submitted manuscripts in our special issue were, the feedback and suggestions from the reviewers and editors helped the  ... 
doi:10.3390/app10093172 fatcat:kdowatxbprdhbkmox62nlqyquq

Handcrafted vs. learned representations for human action recognition

Xiantong Zhen, Ling Shao, Stephen J. Maybank, Rama Chellappa
2016 Image and Vision Computing  
Pantic, Editor-in-Chief of the Image and Vision Computing Journal for giving us the opportunity to guest edit this special issue, and the Elsevier staff, Yanhong Zhai for her great support to this special  ...  Acknowledgement We would like to thank all the authors for their contributions to this special issue, and reviewers for their timely and insightful reviews. We thank Professors J.-M. Frahm and M.  ...  as surveillance, video annotation, multimedia retrieval and human-computer interaction.  ... 
doi:10.1016/j.imavis.2016.10.002 fatcat:j4c2txj3g5glra67qvzab5mmke
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