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Editorial for the ICMR 2018 special issue

Benoit Huet, Qi Tian, Keiji Yanai
2019 International Journal of Multimedia Information Retrieval  
In "Multi-view Collective Tensor Decomposition for Cross-modal Hashing", Cui et al. address the problem of cross-media retrieval with hash codes learned with a tensor model.  ...  Experiments show that the multi-view collective tensor decomposition performs well against several existing cross-modal hashing approaches on two commonly used datasets.  ... 
doi:10.1007/s13735-019-00168-9 fatcat:irnfud2fszbq7mx25pno73b2sm

Table of contents

2019 IEEE Transactions on Image Processing  
Sun 2665 Collective Reconstructive Embeddings for Cross-Modal Hashing ............................................................. ..................................................................  ...  Restoration and Enhancement Weighted Tensor Rank-1 Decomposition for Nonlocal Image Denoising ..................... Y. Wu, L. Fang, and S.  ... 
doi:10.1109/tip.2019.2905937 fatcat:hdjjnnguk5dera2si44df5zude

Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion [article]

Yang Wang
2020 arXiv   pre-print
With the development of web technology, multi-modal or multi-view data has surged as a major stream for big data, where each modal/view encodes individual property of data objects.  ...  Throughout this survey, we further indicate that the critical components for this field go to collaboration, adversarial competition and fusion over multi-modal spaces.  ...  It jointly learned unified hash codes for cross-modal instances and a pair of hash functions for queries. Cao et al.  ... 
arXiv:2006.08159v1 fatcat:g4467zmutndglmy35n3eyfwxku

Multi-modal Deep Analysis for Multimedia

Wenwu Zhu, Xin Wang, Hongzhi Li
2019 IEEE transactions on circuits and systems for video technology (Print)  
hashing.  ...  In this article, we present a deep and comprehensive overview for multi-modal analysis in multimedia.  ...  ACKNOWLEDGMENT We thank Guohao Li, Shengze Yu and Yitian Yuan for providing relevant materials and valuable opinions. This work will never be accomplished without their useful suggestions.  ... 
doi:10.1109/tcsvt.2019.2940647 fatcat:l4tchrkgrnaeradvc4nhfan2w4

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 4254-4268 Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval.  ...  ., +, TIP 2020 225-236 Collective Affinity Learning for Partial Cross-Modal Hashing. Guo, J., +, TIP 2020 1344-1355 Context-Aware Graph Label Propagation Network for Saliency Detection.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Preparation of Papers for IEEE ACCESS

Iain J. Cruickshank, Kathleen M. Carley
2020 IEEE Access  
INDEX TERMS Cybersecurity, malware, multi-modal data, network diffusion, unsupervised machine learning, multi-view data. 77436 VOLUME 8, 2020  ...  In doing so, we propose a new algorithm, Cross-Modal Influence Clustering, for characterizing malware samples into threat actor groups.  ...  The final consistent graph output is clustered via spectral clustering for the final clusters. • ETL-MSC: Essential Tensor Learning for Multi-view Spectral Clustering [23] uses a regularized tensor decomposition  ... 
doi:10.1109/access.2020.2989689 fatcat:jfzlwwsiqzgsfblvj4zkxoo3li

The heterogeneous feature selection with structural sparsity for multimedia annotation and hashing: a survey

Fei Wu, Yahong Han, Xiang Liu, Jian Shao, Yueting Zhuang, Zhongfei Zhang
2012 International Journal of Multimedia Information Retrieval  
Therefore, the selection of limited discriminative features for certain semantics is hence crucial to make the understanding of multimedia more interpretable.  ...  This paper introduces many of the recent efforts in sparsitybased heterogenous feature selection, the representation of the intrinsic latent structure embedded in multimedia, and the related hashing index  ...  For example, all of the heterogenous features from different views can be unified as a consensus representation for the cross-media semantics, and factorized into a latent spaces with a structured sparsity  ... 
doi:10.1007/s13735-012-0001-9 fatcat:4ihorofn6zbg3mzqnifihgcydm

Hetero-Manifold Regularisation for Cross-Modal Hashing

Feng Zheng, Yi Tang, Ling Shao
2018 IEEE Transactions on Pattern Analysis and Machine Intelligence  
To address both challenges, in this paper, we propose a novel method termed hetero-manifold regularisation (HMR) to supervise the learning of hash functions for efficient cross-modal search.  ...  Recently, cross-modal search has attracted considerable attention but remains a very challenging task because of the integration complexity and heterogeneity of the multi-modal data.  ...  for cross-modal hashing.  ... 
doi:10.1109/tpami.2016.2645565 pmid:28055849 fatcat:qayqzp3yyvcf7ayv4f6tgfwlsu

State of the journal

Michael Lew
2019 International Journal of Multimedia Information Retrieval  
You are the core of the community and this journal. 4 ) 4 ICMR A special issue on the best papers from the ACM Multi-view Collective Tensor Decomposition for Cross-modal Hashing" by Limeng Cui, Jiawei  ...  These factors motivated our major starting goals: create a high quality archival journal for the field of multimedia retrieval and aim for an average time to the first decision of roughly 1 month.  ... 
doi:10.1007/s13735-019-00184-9 fatcat:w47hoyk62je4llpvtalu6n6a7a

Table of contents

2020 IEEE Transactions on Image Processing  
Netto 1329 Collective Affinity Learning for Partial Cross-Modal Hashing ......................................... J. Guo and W.  ...  Zhang 3612 Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval ....................................... ......................................................................  ... 
doi:10.1109/tip.2019.2940372 fatcat:h23ul2rqazbstcho46uv3lunku

2020 Index IEEE Transactions on Knowledge and Data Engineering Vol. 32

2021 IEEE Transactions on Knowledge and Data Engineering  
Yan, Y., +, TKDE Feb. 2020 288-301 Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval.  ...  Tang, J., +, TKDE May 2020 855-867 Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval.  ... 
doi:10.1109/tkde.2020.3038549 fatcat:75f5fmdrpjcwrasjylewyivtmu

Supervised Fractional-order Embedding Geometrical Multi-view CCA (SFGMCCA) for Multiple Feature Integration

Keisuke Maeda, Yoshiki Ito, Takahiro Ogawa, Miki Haseyama
2020 IEEE Access  
INDEX TERMS Feature integration, multi-view, canonical correlation analysis, fractional-order technique, geometrical structure. 114340 This work is licensed under a Creative Commons Attribution 4.0 License  ...  Multiset canonical correlation analysis (MCCA), which maximizes the sum of pairwise correlations of inter-view (i.e., between different features), is one of the powerful methods for integrating different  ...  Recently, cross-modal retrieval has attracted attention. Specifically, hashing methods have gained increasing interests in facilitating large-scale cross-view retrieval tasks [56] , [57] .  ... 
doi:10.1109/access.2020.3003619 fatcat:nyina3vjbrb35lqs6y3a6ts3jm

2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30

2020 IEEE transactions on circuits and systems for video technology (Print)  
Lai, H., +, TCSVT April 2020 1162-1172 SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval.  ...  ., +, TCSVT Oct. 2020 3788-3802 SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval.  ...  A Memory-Efficient Hardware Architecture for Connected Component Labeling in Embedded System.  ... 
doi:10.1109/tcsvt.2020.3043861 fatcat:s6z4wzp45vfflphgfcxh6x7npu

2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43

2022 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TPAMI April 2021 1445-1451 MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval.  ...  ., +, TPAMI April 2021 1293-1307 MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval.  ... 
doi:10.1109/tpami.2021.3126216 fatcat:h6bdbf2tdngefjgj76cudpoyia

Searching Personal Photos on the Phone with Instant Visual Query Suggestion and Joint Text-Image Hashing

Zhaoyang Zeng, Jianlong Fu, Hongyang Chao, Tao Mei
2017 Proceedings of the 2017 ACM on Multimedia Conference - MM '17  
The ubiquitous mobile devices have led to the unprecedented growing of personal photo collections on the phone.  ...  We have collected 270 photo albums taken by 30 mobile users (corresponding to 37,000 personal photos) and conducted a series of field studies.  ...  We apply Trucker Decomposition on convolution kernel tensors and fine-tune the model to recover the accumulated loss.  ... 
doi:10.1145/3123266.3123446 dblp:conf/mm/ZengFCM17 fatcat:uco22nrn6ffujhbxabnt3budkq
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