If you know the index structure, write a Python script to parse headers. Example skeleton:
import struct
with open("fg-selective-videos-lossy.bin", "rb") as f: magic = f.read(4) version = struct.unpack("<I", f.read(4))[0] # assuming little-endian num_clips = struct.unpack("<I", f.read(4))[0] # Read index table (offset, length) for each clip clips = [] for _ in range(num_clips): offset = struct.unpack("<Q", f.read(8))[0] length = struct.unpack("<Q", f.read(8))[0] clips.append((offset, length)) # Extract each clip as raw H.264 for i, (off, l) in enumerate(clips): f.seek(off) clip_data = f.read(l) with open(f"clip_i:03d.h264", "wb") as out: out.write(clip_data)fg-selective-videos-lossy.bin
Then convert the .h264 to MP4:
ffmpeg -f h264 -i clip_000.h264 -c copy clip_000.mp4
Because this is a proprietary format, standard video players (VLC, Windows Media Player) will not open it. Here are proven strategies: If you know the index structure, write a
The most probable origin is software that uses AI to remove or alter video backgrounds (e.g., video conferencing tools like Zoom/Teams background effects, or editors like CapCut/After Effects plugins). Then convert the