Cross-modal retrievalDiscrete optimizationOnline hashingLearning to hashWith the prevalence of multimedia content on the Web which usually continuously comes in a stream fashion, online cross-modal hashing methods have attracted extensive interest in recent years. However, most online hashing methods adopt...
Discrete online cross-modal hashing作者: Highlights: • Different from the majority of related methods, DOCH is a discrete one. • By keeping the binary constraints, quantization error can be avoided. • By preserving the similarity in Hamming space, DOCH learns accurate hash codes. • Bot...
Discrete online cross-modal hashing 2022, Pattern Recognition Citation Excerpt : Due to the explosive growth in multimedia data from a great variety of search engines and social media, cross-modal retrieval has become a compelling topic in recent years [1–3,47]. Show abstract A survey on deep...
(e.g., texts vs. images). Cross-modal hashing compresses heterogeneous high-dimensional data into compact binary codes with similarity preserving, which provides efficiency and facility in both retrieval and storage. In this study, we propose a novel fast discrete cross-modal hashing (...
modal Hashing:More Constraints yet Less Time to LearnYong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Senior Member, IEEE,and Xuelong Li, Fellow, IEEEAbstract —Due to the exponential growth of multimedia data, multi-modal hashing as a promising technique to make cross-view ...
Deep optimization class. Based on an array ofMCBiteOpt objects. This "deep" method pushes the newly-obtained solution to the random CBiteOpt object which is then optimized. This method, while increasing the convergence time, is able to solve complex multi-modal functions. ...
Supervised cross-modal hashing has attracted many researchers. In these studies, they seek a common semantic space or directly regress the zero-one label information into the Hamming space. Although they achieve many achievements, they neglect some issues: 1) some methods of the classification task...
Cross-Modal Discrete HashingLiongVenice ErinJiwenTanYap-PengPATTERN RECOGNITION
Cross-modal retrievalRelaxed hash representationSemantic consistencyCross-modal hashing has recently gained significant popularity to facilitate multimedia retrieval across different modalities. Since the acquisition of large-scale labeled training data are very labor intensive, most supervised cross-modal hashing...
Hashing methods have been proposed for the cross-modal retrieval tasks due to their flexibility and effectiveness. The main idea of cross-modal hashing is to embed heterogeneous multimedia data into common Hamming space. How to effectively exploit the modal semantic information and reduce optimization ...