Discriminative Codebook Hashing for Supervised Video Retrieval

Algorithm 2

Discriminative codebook hashing.

Input: training data ; codebook ; maximum number of iterations ; code length ; parameters , , ; learning rate ;
Output: hash codes .
(1)	Initialization: initialize the projection matrix and bias matrix as a random matrix and vector.
(2)	Generatingaccording to the number of samples:
(3)	for category  :
(4)
(5)	end
(6)	Gradient descent:
(7)	for iteration  :
(8)	-Step:
(9)	-Step:
(10)	end
(11)	Video binary code computation: video hash codes are obtained by equations (1)–(3).