Efficient video classification of marine organisms through intra and inter prediction

Borui Li; Qingjuan Feng; Yang Zhang

doi:10.1117/12.2674683

28 April 2023 Efficient video classification of marine organisms through intra and inter prediction

Borui Li, Qingjuan Feng, Yang Zhang

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126260L (2023) https://doi.org/10.1117/12.2674683
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

The purpose of this paper is to improve the efficiency of video recognition process and save computational data. According to the encoding and decoding of video, we can know that not every part of the information of each frame is valid in video classification. There are a lot of invalid information, which takes up computing space. Therefore, this paper proposes an efficient video classification and prediction method based on reinforcement learning intra prediction. The process of eliminating time redundancy is further added, and then the video frames with low value are ignored, which further improves the computational efficiency. This method extracts the key frames from the marine biological video, and then focuses on the key image areas of the key frames, so as to reduce the network computing overhead.

Citation Download Citation

Borui Li, Qingjuan Feng, and Yang Zhang "Efficient video classification of marine organisms through intra and inter prediction", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126260L (28 April 2023); https://doi.org/10.1117/12.2674683

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