scholarly journals Centralized Duplicate Removal Video Storage System with Privacy Preservation in IoT

Sensors ◽  
2018 ◽  
Vol 18 (6) ◽  
pp. 1814 ◽  
Author(s):  
Hongyang Yan ◽  
Xuan Li ◽  
Yu Wang ◽  
Chunfu Jia
Keyword(s):  
Privacy Preservation ◽  
Storage System ◽  
Video Storage

Evaluation of a Video Storage System for Intrusion Detections

1985 ◽  
Vol 29 (5) ◽  
pp. 417-421
Author(s):  
Betty P. Chao
Keyword(s):  
Storage System ◽  
Closed Circuit ◽  
Video Storage

The paper reports an evaluation of a video storage system used in conjunction with closed circuit televisions for surveillance purposes. When multiple intrusions occur simultaneously, video storage permits the user to assess intrusions that might otherwise be missed. A study of specific display characteristics was undertaken to optimize the effectiveness of the video storage system.

scholarly journals A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Shengcheng Ma ◽  
Xin Chen ◽  
Zhuo Li ◽  
Yingjie Yang
Keyword(s):  
Petri Net ◽  
Video Retrieval ◽  
Storage System ◽  
Video Data ◽  
University Campus ◽  
Surveillance Video ◽  
Key Frame ◽  
Video Storage ◽  
The University ◽  
Data Reading

This paper investigates and analyzes the characteristics of video data and puts forward a campus surveillance video storage system with the university campus as the specific application environment. Aiming at the challenge that the content-based video retrieval response time is too long, the key-frame index subsystem is designed. The key frame of the video can reflect the main content of the video. Extracted from the video, key frames are associated with the metadata information to establish the storage index. The key-frame index is used in lookup operations while querying. This method can greatly reduce the amount of video data reading and effectively improves the query’s efficiency. From the above, we model the storage system by a stochastic Petri net (SPN) and verify the promotion of query performance by quantitative analysis.

Luminance-adaptive smart video storage system

2016 ◽  
Author(s):  
Jonathon Edstrom ◽  
Dongliang Chen ◽  
Jinhui Wang ◽  
Huan Gu ◽  
Enrique Alvarez Vazquez ◽  
...  
Keyword(s):  
Storage System ◽  
Video Storage
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