TY - JOUR
T1 - Human Memory Update Strategy
T2 - A Multi-Layer Template Update Mechanism for Remote Visual Monitoring
AU - Liu, Shuai
AU - Wang, Shuai
AU - Liu, Xinyu
AU - Gandomi, Amir H.
AU - Daneshmand, Mahmoud
AU - Muhammad, Khan
AU - De Albuquerque, Victor Hugo C.
N1 - Publisher Copyright:
© 1999-2012 IEEE.
PY - 2021
Y1 - 2021
N2 - In the era of rapid development of artificial intelligence, the integration of multimedia and human-artificial intelligence has become an important research hotspot. Especially in the multimedia environment, effective remote visual monitoring has become the exploration direction of many scholars. The use of traditional correlation filtering (CF) algorithm for real-time monitoring in the context of multimedia is a practical strategy. However, most existing filtering-based visual monitoring algorithms still have the problem of insufficient robustness and effectiveness. Therefore, by considering the strategy of updating human memory, this paper proposes a multi-layer template update mechanism to achieve effective monitoring in a multimedia environment. In this strategy, the weighted template of the high-confidence matching memory is used as the confidence memory, and the unweighted template of the low-confidence matching memory is used as the cognitive memory. Through the alternate use of confidence memory, matching memory, and cognitive memory, it is ensured that the target will not be lost during the monitoring process. Experimental results show that this strategy does not affect the speed (still real-time) and improves the robustness in the multimedia background.
AB - In the era of rapid development of artificial intelligence, the integration of multimedia and human-artificial intelligence has become an important research hotspot. Especially in the multimedia environment, effective remote visual monitoring has become the exploration direction of many scholars. The use of traditional correlation filtering (CF) algorithm for real-time monitoring in the context of multimedia is a practical strategy. However, most existing filtering-based visual monitoring algorithms still have the problem of insufficient robustness and effectiveness. Therefore, by considering the strategy of updating human memory, this paper proposes a multi-layer template update mechanism to achieve effective monitoring in a multimedia environment. In this strategy, the weighted template of the high-confidence matching memory is used as the confidence memory, and the unweighted template of the low-confidence matching memory is used as the cognitive memory. Through the alternate use of confidence memory, matching memory, and cognitive memory, it is ensured that the target will not be lost during the monitoring process. Experimental results show that this strategy does not affect the speed (still real-time) and improves the robustness in the multimedia background.
KW - Multimedia environment
KW - filtering algorithm
KW - human memory
KW - template update
KW - visual monitoring
UR - http://www.scopus.com/inward/record.url?scp=85102683963&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85102683963&partnerID=8YFLogxK
U2 - 10.1109/TMM.2021.3065580
DO - 10.1109/TMM.2021.3065580
M3 - Article
AN - SCOPUS:85102683963
SN - 1520-9210
VL - 23
SP - 2188
EP - 2198
JO - IEEE Transactions on Multimedia
JF - IEEE Transactions on Multimedia
M1 - 9376997
ER -