Cross-modal retrieval has become a highlighted research topic, to provide flexible retrieval experience across multimedia data such as image, video, text and audio. The core of …
Nowadays, due to the exponential growth of user generated images and videos, there is an increasing interest in learning-based hashing methods. In computer vision, the hash …
Near-duplicate video retrieval (NDVR) has been a significant research task in multimedia given its high impact in applications, such as video search, recommendation, and copyright …
Hashing compresses high-dimensional features into compact binary codes. It is one of the promising techniques to support efficient mobile image retrieval, due to its low data …
D Dong, G Fu, J Li, Y Pei, Y Chen - Expert Systems with Applications, 2022 - Elsevier
Computed tomography (CT) is the primary diagnostic tool for brain diseases. To determine the appropriate treatment plan, it is necessary to ascertain the patient's bleeding volume …
C Qin, X Chen, X Luo, X Zhang, X Sun - Information Sciences, 2018 - Elsevier
In this paper, we propose a robust image hashing scheme based on perceptual texture and structure features. Through pre-processing, the input image with arbitrary size is regularized …
Z Tang, Z Huang, X Zhang, H Lao - Signal processing, 2017 - Elsevier
Multidimensional scaling (MDS) is an efficient technique for data analysis, and has been successfully applied in data visualization, object retrieval, data clustering, and so on …
C Qin, M Sun, CC Chang - Signal processing, 2018 - Elsevier
In this paper, a novel perceptual hashing scheme for color images is proposed with the hybrid feature extraction mechanism. During the stage of pre-processing, image …
C Qin, H Wang, X Zhang, X Sun - Information sciences, 2016 - Elsevier
In this paper, we propose a novel self-embedding fragile image watermarking scheme for tampering recovery based on reference-data interleaving mechanism and adaptive …