TV shows MultiCamera Editing
It is the data used in Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows
Check the project website.
Notes:
- For track selection, we only use frame that its boundary label is 1, since we care where the choice of camera tracks on the shot boundary.
- For data transfer efficiency, we compress the video file as a
.tar, and it requires decompression to use, such astar -xvf video_0002.tar.
├── TVMCE
│ ├── meta
│ │ ├── train.json # Json file used with a sampling stride of 5 frames
│ │ ├── test.json # The structure is the same as the meta/train folder
│ ├── train # Video frames file with a sampling stride of 5 frames
│ │ ├── video_0002 # Video TV Show id
│ │ │ ├── output # Video frames from the final output
│ │ │ │ ├── 18362.jpg
│ │ │ │ ├── ...
│ │ │ ├── CAM1 # Video frames from different track
│ │ │ │ ├── 18460.jpg
│ │ │ │ ├── ...
│ │ │ ├── CAM2
│ │ │ │ ├── 18460.jpg
│ │ │ │ ├── ...
│ │ │ ├── ...
│ │ ├── video_0003 # Other TV Shows, and the structure is the same as the video_0002 folder
│ │ │ ├── ...
│ │ ├── ...
│ ├── test # The structure is the same as the train folder
│ │ ├── video_0000
│ │ ├── ...
Details about the label file.
train.json
[
{
"videoID" : program_name,
"sampleInterval" : int, # Different sampling stride
"startFrame" : int, # Start frame of sliding window
"currentCam" : camera_namm, # Camera id of the historical information
"outputList" : [framid], # Temporal frame ids
"selectCam" : camera_namm, # Camera id of selected
"CAMFrame" : int, # Contextual frame id
"label" : [...], # Label for whether candidate cameras are selected
"boundary" : bool, # Whether to switch cameras
"CAMList" : [...] # List of candidate cameras
},
{...}
]
@article{rao2022temporal,
title={Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows},
author={Rao, Anyi and Jiang, Xuekun and Wang, Sichen and Guo, Yuwei and Liu, Zihao and Dai, Bo and Pang, Long and Wu, Xiaoyu and Lin, Dahua and Jin, Libiao},
journal={arXiv preprint arXiv:2210.08737},
year={2022}
}
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