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CCTV-Encoder

Encoding and decoding algorithm for raw surveillance videos using SVD/PCA

This project uses the Robust PCA algorithm. For the Robust PCA's optimization problem, we can use the Primary Component Pursuit Algorithm achieved by the The Augmented Lagrange Multiplier Method, decomposing a video in the form of a matrix into a sum of a low-rank and a sparse matrix.

For the SVD algorithm, We'll use Facebook's Fast Randomized PCA library.

Check out the project's report doc (Portuguese)

Requirements

  • NumPy >= 2.0.0
  • SciPy >= 1.11.1
  • MoviePy >= 1.0.3
  • fbpca >= 1.0

Example

"""_summary_
	Demonstrating the usability of the lib
"""
from cctv_encoder import Encoder, Decoder

# Encode process

WORKDIR = "/workspaces/CCTV-Encoder/test_Files/CCTV/"

my_enc = Encoder(WORKDIR)

my_enc.set_precision(1e-2)
my_enc.set_quality(1)
my_enc.set_PCP_n_iter(7)

my_enc.encode(video_path = "CCTV_video.mp4")

# Decode process

decoder = Decoder(WORKDIR)

decoder.decode(encoded_file_path = WORKDIR + "CCTV_video.npz",
               out_file_name = "CCTV_video_foreground_decoded.mp4",
               composition = "foreground")

decoder.decode(encoded_file_path = WORKDIR + "CCTV_video.npz",
               out_file_name = "CCTV_video_background_decoded.mp4",
               composition = "background")

decoder.decode(encoded_file_path = WORKDIR + "CCTV_video.npz",
               out_file_name = "CCTV_video_decoded.mp4",
               composition = "both")