The DOI identifier 10.1049/ipr2.13154 belongs to a 2024 paper on AI-generated video steganography . This research uses deep semantic features extracted from segmentation masks to hide secret messages within generated video streams.
In the 2023 IEEE/CVF International Conference on Computer Vision (ICCV) , page 13154 contains research on "Video Adverse-Weather-Component Suppression." This involves using a deep feature flow to propagate information across frames to remove rain or snow.
Layered representations from a CNN (like ResNet50 ) that identify "what" is in the video (e.g., a car, a person).
💡 If you are working with a specific dataset, 13154 is likely the unique ID for a video of a rabbit (used in behavioral studies) or a vehicle (used in autonomous driving benchmarks like KITTI ).
The DOI identifier 10.1049/ipr2.13154 belongs to a 2024 paper on AI-generated video steganography . This research uses deep semantic features extracted from segmentation masks to hide secret messages within generated video streams.
In the 2023 IEEE/CVF International Conference on Computer Vision (ICCV) , page 13154 contains research on "Video Adverse-Weather-Component Suppression." This involves using a deep feature flow to propagate information across frames to remove rain or snow.
Layered representations from a CNN (like ResNet50 ) that identify "what" is in the video (e.g., a car, a person).
💡 If you are working with a specific dataset, 13154 is likely the unique ID for a video of a rabbit (used in behavioral studies) or a vehicle (used in autonomous driving benchmarks like KITTI ).
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