Key-Frame-Extraction From Video Sequence - Using Feature Difference Analysis

Example :

from Key_Frames_0.2 import get_key_frames_1
key_frames_index=get_key_frames_1(frame_images,show_plot=True,N=21,constant=True,N_frames=20)

Function Parameters:
img_seq: Numpy array containing frames extracted from a video
show_plot: plot 'difference measure vs frame number' graph
N: Interval
M: refer to paper
p_factor: refer to paper
block_size: Number of blocks for frame devision, frame is devided into (frame_size/block_size X frame_size/block_size)
lbp_r: lbp radius
constant: Return constant number of key-frames N_frames: Number of key-frames to return if constant==True

Returns:
Index of key frames

TODO:

1. Vectorize more operations
2. Use HOG Histogram for Feature-Difference-Analysis