标题
Comparative analysis on cross-modal information retrieval: A review
作者
关键词
Cross-modal, Multimedia, Information retrieval, Data fusion, Comparative analysis
出版物
Computer Science Review
Volume 39, Issue -, Pages 100336
出版商
Elsevier BV
发表日期
2020-12-09
DOI
10.1016/j.cosrev.2020.100336
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Learning Shared Semantic Space with Correlation Alignment for Cross-Modal Event Retrieval
- (2020) Zhenguo Yang et al. ACM Transactions on Multimedia Computing Communications and Applications
- Combination subspace graph learning for cross-modal retrieval
- (2020) Gongwen Xu et al. Alexandria Engineering Journal
- Exploiting Subspace Relation in Semantic Labels for Cross-Modal Hashing
- (2020) Heng Tao Shen et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Hybrid representation learning for cross-modal retrieval
- (2019) Wenming Cao et al. NEUROCOMPUTING
- Unsupervised cross-modal retrieval via Multi-modal graph regularized Smooth Matrix Factorization Hashing
- (2019) Yixian Fang et al. KNOWLEDGE-BASED SYSTEMS
- Cross-modal hashing with semantic deep embedding
- (2019) Cheng Yan et al. NEUROCOMPUTING
- Use of Machine Learning to Automate the Identification of Basketball Strategies Using Whole Team Player Tracking Data
- (2019) Changjia Tian et al. Applied Sciences-Basel
- Hans Peter Luhn and the birth of the hashing algorithm
- (2018) Hallam Stevens IEEE SPECTRUM
- Triplet-Based Deep Hashing Network for Cross-Modal Retrieval
- (2018) Cheng Deng et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval
- (2018) Liang Zhang et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Multimodal Machine Learning: A Survey and Taxonomy
- (2018) Tadas Baltrusaitis et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Semantically-enhanced kernel canonical correlation analysis: a multi-label cross-modal retrieval
- (2018) Yuhua Jia et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Cross modal similarity learning with active queries
- (2018) Nengneng Gao et al. PATTERN RECOGNITION
- Deep adversarial metric learning for cross-modal retrieval
- (2018) Xing Xu et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics
- (2018) M. Hodosh et al. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- Efficient discrete latent semantic hashing for scalable cross-modal retrieval
- (2018) Xu Lu et al. SIGNAL PROCESSING
- Learning to rank with relational graph and pointwise constraint for cross-modal retrieval
- (2018) Qingzhen Xu et al. SOFT COMPUTING
- Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval
- (2018) Lin Wu et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- An Overview of Cross-media Retrieval: Concepts, Methodologies, Benchmarks and Challenges
- (2017) Yuxin Peng et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Retrieval From and Understanding of Large-Scale Multi-modal Medical Datasets: A Review
- (2017) Henning Muller et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Cross-Modal Retrieval Using Multiordered Discriminative Structured Subspace Learning
- (2017) Liang Zhang et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Deep Coupled Metric Learning for Cross-Modal Matching
- (2017) Venice Erin Liong et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Internet cross-media retrieval based on deep learning
- (2017) Bin Jiang et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval
- (2017) Guanqun Cao et al. IEEE Transactions on Cybernetics
- Cross-media analysis and reasoning: advances and directions
- (2017) Yu-xin Peng et al. Frontiers of Information Technology & Electronic Engineering
- Robust Cross-view Hashing for Multimedia Retrieval
- (2016) Xiaobo Shen et al. IEEE SIGNAL PROCESSING LETTERS
- Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing
- (2016) Guiguang Ding et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Supervised Matrix Factorization Hashing for Cross-Modal Retrieval
- (2016) Jun Tang et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval
- (2016) Cheng Deng et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Cross-Modal Retrieval via Deep and Bidirectional Representation Learning
- (2016) Yonghao He et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval
- (2016) Kaiye Wang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Learning unified binary codes for cross-modal retrieval via latent semantic hashing
- (2016) Xing Xu et al. NEUROCOMPUTING
- Deep canonical correlation analysis with progressive and hypergraph learning for cross-modal retrieval
- (2016) Jie Shao et al. NEUROCOMPUTING
- Cross-Modal Self-Taught Hashing for large-scale image retrieval
- (2016) Liang Xie et al. SIGNAL PROCESSING
- Modality-Dependent Cross-Media Retrieval
- (2016) Yunchao Wei et al. ACM Transactions on Intelligent Systems and Technology
- Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval
- (2015) Cuicui Kang et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval
- (2015) Shuhui Wang et al. NEUROCOMPUTING
- Deep correspondence restricted Boltzmann machine for cross-modal retrieval
- (2015) Fangxiang Feng et al. NEUROCOMPUTING
- Topic correlation model for cross-modal multimedia information retrieval
- (2015) Zengchang Qin et al. PATTERN ANALYSIS AND APPLICATIONS
- Cross-modal domain adaptation for text-based regularization of image semantics in image retrieval systems
- (2014) Jose Costa Pereira et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- A Cross-Modal Approach for Extracting Semantic Relationships Between Concepts Using Tagged Images
- (2014) Marie Katsurai et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Development of multisensory integration from the perspective of the individual neuron
- (2014) Barry E. Stein et al. NATURE REVIEWS NEUROSCIENCE
- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval
- (2013) Jose Costa Pereira et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- MLRank: Multi-correlation Learning to Rank for image annotation
- (2013) Zechao Li et al. PATTERN RECOGNITION
- Exploring Cross-Modality Affective Reactions for Audiovisual Emotion Recognition
- (2013) S. Mariooryad et al. IEEE Transactions on Affective Computing
- Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval
- (2012) Yunchao Gong et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multimedia search and retrieval using multimodal annotation propagation and indexing techniques
- (2012) Michalis Lazaridis et al. SIGNAL PROCESSING-IMAGE COMMUNICATION
- Effective Semantic Annotation by Image-to-Concept Distribution Model
- (2011) Ja-Hwung Su et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Learning the Relative Importance of Objects from Tagged Images for Retrieval and Cross-Modal Search
- (2011) Sung Ju Hwang et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- The Pascal Visual Object Classes (VOC) Challenge
- (2009) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Systematic literature reviews in software engineering – A systematic literature review
- (2008) Barbara Kitchenham et al. INFORMATION AND SOFTWARE TECHNOLOGY
- A survey of methods for image annotation
- (2008) Allan Hanbury JOURNAL OF VISUAL LANGUAGES AND COMPUTING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now