Abstract:
The combination of big data and computer vision technology is an essential way to monetize the value of big data and has been
widely used in traffic violation video identification and processing. This paper first introduces the combination of big data and
computer vision technology, theoretically analyzes their application fields, and sets up experiments using the OTB2015 dataset’s 9
groups of test video sequences to test the proposed algorithm’s performance. From the comparison of experimental results, the difficulties faced by the combination of the two in major fields are identified, and the critical dependencies for solving these
difficulties are proposed.
Download here :
https://ieeexplore.ieee.org/document/10314233
Citation:
J. Liu and S. Xu, “Challenges in Combining Big Data and Computer Vision Technologies in Current Context from an Algorithmic Experiment
Perspective,” 2023 8th International Conference on Information Systems Engineering (ICISE), Dalian, China, 2023, pp. 86-90, doi:
10.1109/ICISE60366.2023.00024.
keywords: {Computer vision;Video sequences;Transportation;Big Data;Information systems;Big data monetization;Computer vision
technology algorithms;Computer vision technology applications;Algorithm comparison},
