**3. References**


Extensions, *SPIE Conference on Applications of Digital Image Processing* XXVII, August, 2004.

http://en.wikipedia.org/wiki/H.264

http://en.wikipedia.org/wiki/Video\_compression


80 Video Compression

applications are developed with core functions that extend across civilian and military application areas. Unmanned aerial vehicle (UAV) surveillance and reconnaissance programs increasingly need methods for optimally packaging and distributing information. H.264 supports the collection, formatting, storage and dissemination of "raw" data from real time video capture and image exploitation using embedded technology for surveillance & reconnaissance application, Enhanced fusion vision for situational awareness application, Automatic vision inspection system for quick inspection of components in a manufacturing industry. Also it supports for high-end resolution for

Airborne surveillance has been widely used in different range of applications in civilian and military applications, such as search and rescue missions, border security, resource exploration, wildfire and oil spill detection, target tracking, surveillance, etc. The unmanned airborne vehicle (UAV) is equipped with special sensors (day / night) to image objects in ground and assigns the actual recognition task (surveillance) to the crew or record image data and analyze them off-line on the ground. Pilot less airborne vehicle with sensor carrying platforms transmit data to a ground control station for analysis and data

There is likely to be a continued need for better compression efficiency, as video content becomes increasingly ubiquitous and places unprecedented pressure on upcoming new applications in the future. At the same time, the challenge of handling ever more diverse content coded in a wide variety of formats makes reconfigurable coding a potentially useful prospect. To summarize it, we presented an overview of H.264 motion estimation and its types and also the various estimation criterion that decides the complexity of the chosen algorithm. We then probed into the available scalability of parallelism in H.264. Finally we focused on an application which is highly sought in the research environment and its

A. Rodr´guez, A. Gonz´alez, and M. Malumbres, (2006), Hierarchical parallelization of an

Alan Conrad Bovik, (2009). *The Essential Guide to Video processing,* Elsevier, 978-0-12-374456-

Alois M.Bock (2009), "*Video Compression Systems from first Principles to Concatenated Codecs*", The Institution of Engineering and Technology, 978-0-86431-963-6, UK Florian H. Seitner, Michael Bleyer , Margrit Gelautz · Ralf M. Beuschel, (2010) Evaluation of

architectures*, Springer Science Business Media*, LLC,ISSN 11042-010-0501-7 Gary J. Sullivan, Pankaj Topiwala, and Ajay Luthra, (2004), The H.264/AVC Advanced

H.264/AVC video encoder. *In Int. Conf. on Parallel Computing in Electrical* 

data-parallel H.264 decoding approaches for strongly resource-restricted

Video Coding Standard: Overview and Introduction to the Fidelity Range

remote sensing images and data from satellite.

advantages in a more elaborate manner.

*Engineering* (PARLEC), pages 363–368.

interpretation.

**2. Conclusion**

**3. References** 

2, USA.


**5** 

**Global Motion Estimation** 

*School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an,* 

In this chapter, global motion estimation and its applications are given. Firstly we give the definitions of global motion and global motion estimation. Secondly, the parametric representations of global motion models are provided. Thirdly, global estimation approaches including pixel domain based global motion estimation, hierarchical global motion estimation, partial pixel set based global motion estimation, and compressed domain based global motion estimation are reviewed. Finally, four global motion based applications in video compression, sport video shot classification, video error concealment, and video

Motion information is very important for video content analysis. In surveillance video, usually the camera is stationary, and the motions of the video frame are often caused by local motion objects. Thus detecting motions in the video sequences can be utilized in abnormal events detection. In sports video, the heavy motions are also related to highlights. Motion estimation and compensation is the core of video coding. Coding the residual component after motion compensated can save bit-rates significantly. In video sequences, the motion pattern can be classified into two types: local motion and global motion. The global motion is related to camera motion. Integrated with local motion, global motion is widely utilized in video object segmentation, video coding and error concealment. The rest of this chapter is organized as follows: the definition of global motion is given in Section 2. The global motion models are given in Section 3. Global motion estimation approaches are given in Section 4. Four applications based on global motion and local motion (GM/LM) information are introduced in Section 5. The applications are GM/LM based video coding, global view refinement for soccer video, GM/LM based error concealment and GM/LM based text occluded region recovery. And

*Global motions in a video sequence are caused by camera motion, which can be modeled by parametric transforms [4]. The process of estimating the transform parameters is called global motion estimation.*  From the definition, it is clear that global motion is closely related to camera motion. The camera is operated by camera man. Thus the global motion pattern can reveal video

**1. Introduction** 

text occluded region recovery are given.

finally conclusions are drawn in Section 6.

**2. Definition of global motion** 

**and Its Applications** 

Xueming Qian

*China* 

Zhibo Chen, Jianfeng Xu, Yun He, Junli Zheng (2006) Fast integer-pel and fractional-pel motion estimation for H.264/AVC, *International Journal of Visual Communication*, Vol.17,pp. 264–29,
