The Journal of the Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회논문지)

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
권호 표지
DOI QR코드

DOI QR Code

Video Compression Method Using SURF Feature and Block Shaping

SURF 특징과 블록 모양을 이용한 동영상 압축 방법

  • Received : 2015.07.28
  • Accepted : 2015.08.07
  • Published : 2015.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Today, computer network infrastructure is commonplace and internet user increase. Transmission bandwidth for network traffic is increasing. The data amount of 2014 and 2015 year measured 47 and 62 exabyte, it shows a tremendous increase. Video traffic occupy 60 percent among internet traffic. Enormous growth of Internet traffic than the network infrastructure is not enough to support them, so mobile network occur side-effects such as fall of voice communication. In this paper, we proposed the video compression method using SURF feature and block shaping in order to avoid potential damage. Our proposed method can provide enough performance than previous method.

오늘날 컴퓨터 네트워크 인프라 구축이 일반화되고 인터넷 사용자의 수가 증가하는 가운데 망에는 대용량의 트래픽이 흐르고 있다. 네트워크 트래픽은 2014년에 월간 47 엑사바이트(Exabyte), 2015년 월간 62 엑사바이트로 엄청난 증가를 보인다. 인터넷 트래픽 중에서 동영상 트래픽의 비중은 전체 60%를 차지하여 인터넷 트래픽 상승의 견인차 역할을 수행하고 있다. 엄청난 인터넷 트래픽의 성장에 비해서 네트워크 인프라는 이를 지원하기 턱없이 부족하여 모바일 네트워크에서 음성통화의 품질저하라는 극단적인 부작용이 나타나고 있다. 미래에 예상되는 잠재적인 위험을 사전에 방지하기 위해 SURF 특징과 블록 모양을 이용한 동영상 압축 방법을 제안한다. 제안한 방법은 기존의 방법보다 좋은 성능을 보이는 것을 확인하였다.

Keywords

References

  1. Cisco Systems, Inc., "www.cisco.com".
  2. ITU Telecommuncation Standardization Sector, "www.itu.int/en/ITU-T/pages/default.aspx".
  3. The International Organization for Standardization, "www.iso.org/iso/home.html".
  4. S. Lian, "Automatic Video Temporal Segmentation based on Multiple Features," Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Digital Information Forensics, Vol. 15, No. 3, pp. 469-482, Mar. 2011.
  5. H. Bay, T. Tuytelaars and L. V. Vool, "SURF: Speeded Up Robust Features," European Conference on Computer Vision, Vol. 3951, pp. 404-417, 2006.
  6. H. Samet, "Application of Spatial Data Structure," Addison-Wesley, New York, 1990.
  7. ITU-T SG16 and ISO/IEC JCT1/SC29/WG11, "Information Technology - Coding of Audio-Visual Objects - Part 10: Advanced Video Coding," ISO/IEC 14496-10, 2012.
  8. C. Kim, and J. W. Oh, "BTC-based Image Compression using Pattern", The Journal of The Institute of Internet Broadcasting and Communication, Vol. 15, No. 3, pp. 85-90, June 2015. https://doi.org/10.7236/JIIBC.2015.15.3.85
  9. I. H. Jee, "Effective Compression Technique of Multi-view Image expressed by Layered Depth Image", The Journal of The Institute of Internet Broadcasting and Communication, Vol. 14, No. 4, pp. 29-37, Aug. 2014. https://doi.org/10.7236/JIIBC.2014.14.4.29

Cited by

  1. Analyzation and Improvements of the Revised 2015 Education Curriculum for Information Science of Highschool: Focusing on Information Ethics and Multimedia vol.17, pp.8, 2016, https://doi.org/10.5762/KAIS.2016.17.8.208