COMPRESSED DOMAIN VIDEO UNDERSTANDING METHODS FOR TRAFFIC SURVEILLANCE APPLICATIONS (2023)
Abstract / truncated to 115 words
In the realm of traffic monitoring, efficient video analysis is paramount yet challenging due to intensive computational demands. This thesis addresses this issue by introducing novel methods to operate in the compressed domain. Four methods are proposed for image reconstruction from High Efficiency Video Coding (HEVC) Intra bitstreams, namely, the Block Partition Based Method (Mbp), the Prediction Unit Based Method (Mpu), the Random Perturbation Based Method (Mrp), and the Luma based method (My). These methods aim to provide a compact representation of the original image while retaining relevant information for video understanding tasks. Our methods substantially reduce data transmission requirements and memory footprint. Specifically, images created via Mbp and Mpu require 1/1,536 and 1/192 of ...
video compression – digital video transmission – object detection – H.265 – compressed domain – video analytics
Information
- Author
- Beratoğlu, Muhammet Sebul
- Institution
- Istanbul Technical University
- Supervisor
- Publication Year
- 2023
- Upload Date
- May 5, 2024
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