scholarly journals Encode the Unseen: Predictive Video Hashing for Scalable Mid-stream Retrieval

2021 ◽  
pp. 427-442
Author(s):  
Tong Yu ◽  
Nicolas Padoy
Keyword(s):  
Video Hashing

scholarly journals Large-Scale Video Hashing via Structure Learning

2013 ◽  
Author(s):  
Guangnan Ye ◽  
Dong Liu ◽  
Jun Wang ◽  
Shih-Fu Chang
Keyword(s):  
Large Scale ◽  
Structure Learning ◽  
Video Hashing

A visual saliency based video hashing algorithm

2012 ◽  
Author(s):  
Jing Wang ◽  
Jiande Sun ◽  
Ju Liu ◽  
Xiushan Nie ◽  
Hua Yan
Keyword(s):  
Visual Saliency ◽  
Video Hashing ◽  
Hashing Algorithm

Unequally Weighted Video Hashing for Copy Detection

2013 ◽  
pp. 546-557 ◽  
Author(s):  
Jiande Sun ◽  
Jing Wang ◽  
Hui Yuan ◽  
Xiaocui Liu ◽  
Ju Liu
Keyword(s):  
Copy Detection ◽  
Video Hashing

Video Hashing with DCT and NMF

2019 ◽  
Vol 63 (7) ◽  
pp. 1017-1030 ◽  
Author(s):  
Zhenjun Tang ◽  
Lv Chen ◽  
Heng Yao ◽  
Xianquan Zhang ◽  
Chunqiang Yu
Keyword(s):  
Operating Characteristic ◽  
Video Retrieval ◽  
Matrix Decomposition ◽  
Compact Representation ◽  
Video Copy Detection ◽  
Copy Detection ◽  
Good Discrimination ◽  
Video Authentication ◽  
Video Hashing ◽  
Dct Coefficients

Abstract Video hashing is a novel technique of multimedia processing and finds applications in video retrieval, video copy detection, anti-piracy search and video authentication. In this paper, we propose a robust video hashing based on discrete cosine transform (DCT) and non-negative matrix decomposition (NMF). The proposed video hashing extracts secure features from a normalized video via random partition and dominant DCT coefficients, and exploits NMF to learn a compact representation from the secure features. Experiments with 2050 videos are carried out to validate efficiency of the proposed video hashing. The results show that the proposed video hashing is robust to many digital operations and reaches good discrimination. Receiver operating characteristic (ROC) curve comparisons illustrate that the proposed video hashing outperforms some state-of-the-art algorithms in classification between robustness and discrimination.

LLE-based video hashing for video identification

2010 ◽  
Author(s):  
Xiushan Nie ◽  
Jianping Qiao ◽  
Ju Liu ◽  
Jiande Sun ◽  
Xinchao Li ◽  
...  
Keyword(s):  
Video Hashing ◽  
Video Identification

Unsupervised Variational Video Hashing With 1D-CNN-LSTM Networks

2020 ◽  
Vol 22 (6) ◽  
pp. 1542-1554 ◽  
Author(s):  
Shuyan Li ◽  
Zhixiang Chen ◽  
Xiu Li ◽  
Jiwen Lu ◽  
Jie Zhou
Keyword(s):  
Video Hashing

Perceptual video hashing robust against geometric distortions

2012 ◽  
Vol 55 (7) ◽  
pp. 1520-1527 ◽  
Author(s):  
ShiJun Xiang ◽  
JianQuan Yang ◽  
JiWu Huang
Keyword(s):  
Geometric Distortions ◽  
Video Hashing ◽  
Perceptual Video Hashing
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