tailieunhanh - Master thesis: Motion analysis from encoded video bitstream

This thesis proposes a new method to determine moving objects by applying some motion estimation techniques in the video compression domain. At the same time, this method will also be used to build an application that supports the identification and search of motion in home surveillance videos. The compression format of the videos in the thesis uses H264 compression (MPEG-4 part10), a popular video compression standard today. The thesis's contribution is to propose a new method of detecting moving objects in surveillance video encoded with H264 compression using motion vectors and macroblock sizes | VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGY NGUYEN MINH HOA MOTION ANALYSIS FROM ENCODED VIDEO BITSTREAM MASTER’S THESIS HA NOI – 2018 VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF ENGINEERING AND TECHNOLOGY NGUYEN MINH HOA MOTION ANALYSIS FROM ENCODED VIDEO BITSTREAM Major: Computer Science MASTER’S THESIS Supervisor: Dr. Do Van Nguyen Co-Supervisor: Dr. Tran Quoc Long HA NOI - 2018 i AUTHORSHIP “I hereby declare that the work contained in this thesis is of my own and I have not submitted this thesis at any other institution in order to obtain a degree. To the best of my knowledge and belief, the thesis contains no materials previously published or written by another person other than those listed in the bibliography and identified as references.” Signature: ii SUPERVISOR’S APPROVAL “I hereby approve that the thesis in its current form is ready for committee examination as a requirement for the Master of Computer Science degree at the University of Engineering and Technology.” Signature: Signature: iii ACKNOWLEDGMENTS First of all, I would like to express special gratitude to my supervisors, Dr. Do Van Nguyen and Dr. Tran Quoc Long, for their enthusiasm for instructions, the technical explanation as well as advices during this project. I also want to give sincere thanks to Assoc. Prof. Dr. Ha Le Thanh, Assoc. Prof. Dr. Nguyen Thi Thuy for the instructions as well as the background knowledge for this thesis. And I would like to also thank my teachers, my friends in Human Machine Interaction Lab for their support. Thank my friends, my colleagues in the project "Nghiên Cứu Công Nghệ Tóm Tắt Video", and project “Multimedia application tools for intangible cultural heritage conservation and promotion”, project number for their working and support. Last but not least, I want to thank my family and all of my friends for their motivation and .