Results 31 to 40 of about 64,981 (259)
Revisiting Cross Modal Retrieval
, 2018 14 pages. Under review at ECCVW (MULA 2018)
Nawaz, Shah +3 more
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A novel framework for retrieval and interactive visualization of multimodal data [PDF]
, 2013 With the abundance of multimedia in web databases and the increasing user need for content of many modalities, such as images, sounds, etc. , new methods for retrieval and visualization of multimodal media are required.
Kalamaras, Ilias +3 more
core +3 more sources
Cross-Modal Retrieval: A Review of Methodologies, Datasets, and Future Perspectives
IEEE AccessWith the rapid development of science and technology, all types of mixed media contain large amounts of data. Traditional single multimedia data can no longer satisfy daily requirements.
Zhichao Han +3 more
doaj +1 more source
Neural substrate of initiation of cross-modal working memory retrieval. [PDF]
PLoS ONE, 2014 Cross-modal working memory requires integrating stimuli from different modalities and it is associated with co-activation of distributed networks in the brain. However, how brain initiates cross-modal working memory retrieval remains not clear yet.
Yangyang Zhang +5 more
doaj +1 more source
Cross-modal Deep Metric Learning with Multi-task Regularization
, 2017 DNN-based cross-modal retrieval has become a research hotspot, by which users can search results across various modalities like image and text. However, existing methods mainly focus on the pairwise correlation and reconstruction error of labeled data ...
Huang, Xin, Peng, Yuxin
core +1 more source
Unsupervised Generative Adversarial Cross-modal Hashing
, 2017 Cross-modal hashing aims to map heterogeneous multimedia data into a common Hamming space, which can realize fast and flexible retrieval across different modalities. Unsupervised cross-modal hashing is more flexible and applicable than supervised methods,
Peng, Yuxin, Yuan, Mingkuan, Zhang, Jian
core +1 more source
Cross-modal retrieval based on shared proxies
International Journal of Multimedia Information Retrieval, 2023 Abstract Inconsistency of distribution and representation across different data modalities makes measuring cross-modal similarities a very difficult problem. Learning a common space that is semantically discriminative and modality invariant is the main challenge in cross-modal retrieval.
Yuxin Wei +3 more
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An Efficient Approach for Geo-Multimedia Cross-Modal Retrieval
IEEE Access, 2019 Due to the rapid development of mobile Internet techniques, such as online social networking and location-based services, massive amount of multimedia data with geographical information is generated and uploaded to the Internet. In this paper, we propose
Lei Zhu +5 more
doaj +1 more source
Supervised Matrix Factorization Hashing for Cross-Modal Retrieval [PDF]
IEEE Transactions on Image Processing, 2016 The target of cross-modal hashing is to embed heterogeneous multimedia data into a common low-dimensional Hamming space, which plays a pivotal part in multimedia retrieval due to the emergence of big multimodal data. Recently, matrix factorization has achieved great success in cross-modal hashing.
Jun Tang, Ke Wang, Ling Shao
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A Deep Semantic Alignment Network for the Cross-Modal Image-Text Retrieval in Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Because of the rapid growth of multimodal data from the internet and social media, a cross-modal retrieval has become an important and valuable task in recent years.The purpose of the cross-modal retrieval is to obtain the result data in one modality (e ...
Qimin Cheng +4 more
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