This paper presents a low-complexity video compression technique for wireless transmission in capsule endoscopy. The capsule endoscopy uses a capsule device to convey images taken in the digestive tract wirelessly to a body-worn device. Since the capsule device has small capacity on its battery, compression technique is crucial that is realized in less power consumption. The technique shown in this paper is theoretically based on Slepian-Wolf coding, in which side information available at transmitter side is treated as well as side information at its receiver side. Therefore, energy-hungry processes for achieving video compression including estimation of motion vectors are moved to the receiver side. Simulation results show that the encoding method provides compression rate close to its lower bound for an 8-bit quantized raw (Bayer) data by using a regular low-density parity check (LDPC) under additive white Gaussian noise (AWGN) channel.