IJTEEE
International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
PREVIOUS PUBLICATIONS



IJTEEE >> Volume 1 - Issue 4, November 2013 Edition



International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Annotate And Visualize A Video With Pose Recognition And Text Gloss Ssg

[Full Text]

 

AUTHOR(S)

S. Selvi

 

KEYWORDS

Keywords: Annotation, Authoring, Pose recognition, Sketches, Visualization

 

ABSTRACT

Abstract: Good interfaces should help us to decide what next? Hence, Interface design issues pertinent to this project include the integration of media, annotation, use of metaphors, standards and the goals of the multimedia system. Without control over facial appearance, screening perspective, illumination circumstances, occlusions, background, expression, hairstyles, in the video quality is exaggerated and image contains noise pixels and Face data in different angle cannot be recognized. So recognize an unimpeded pose and visualizing a video in multimedia environment with authoring is, still a thorny way. In this paper we present a dual course of action, at first annotate a video with excellent pretense extraction using Fuzzy Local Information C-Means (FLICM) Clustering Algorithm. This approach is used to fuzzy local gray level quantify resemblance, aiming to assure noise insensitiveness and image detail preservation. Subsequently we can generate sketches using sobel operator which finds the sharp intensity variation of an image and it obtains the edges of the objects contained on the image. At the jiffy phase we propose a text gloss scene structured graph to authorize a video.

 

REFERENCES

[1]. Cui-Xia Ma, ”Sketch-Based Annotation and Visualization in Video Authoring” , IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 14, NO. 4, AUGUST 2012

[2]. Himanshu S. Bhatt, “On Matching Sketches with Digital Face Images” , IEEE TRANSACTIONS ON PATTERN ANALYSIS,

[3]. Khushboo Khurana,”Study of Various Video Annotation Techniques”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 1, January 2013

[4]. Emily Moxley,”Video Annotation Through Search and Graph Reinforcement Mining”, IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 12, NO. 3, APRIL 2010

[5]. I. Borg and P. Groenen, Modern Multidimensional Scaling: Theory and Applications. Springer, Second Edition, New York, NY, 2005.

[6]. B. S. Manjunath, P. Salembier, and T. Sikora, Eds.,” Introduction to MPEG-7: Multimedia Content Description Interface”. New York: Wiley, 2002.

[7]. S. L. Feng, R. Manmatha, and V. Lavrenko, “Multiple Bernoulli relevance models for image and video annotation,” in Proc. Computer Vision and Pattern Recognition (CVPR’04), 2004, pp. 1002–1009.

[8]. S. Prince, J. Warrell, J. Elder, and F. Felisberti, “Tied factor analysis for face recognition across large pose differences,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 6, pp. 970–984, June 2008.

[9]. S. Baker and T. Kanade, “Hallucinating faces,” in Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, March 2000.

[10]. ——, “Limits on super-resolution and how to break them,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 9, pp. 1167–1183, September 2002.

[11]. D. Bulterman and L. Hardman, “Structured multimedia authoring,” ACM Trans. Multimedia Comput., Commun., Appl., vol. 1, no. 1, pp. 89–109, 2005.

[12]. F. Shipman, A. Girgensohn, and L. Wilcox, “Authoring, viewing, and generating hypervideo: An overview of hyper-hitchcock,” ACM Trans. Multimedia Comput., Commun., Appl., vol. 5, no. 2, 2008, article no. 15.

[13]. B. W. Chen, J. C. Wang, and J. F. Wang, “A novel video summarization based on mining the story-structure and semantic relations among concept entities,” IEEE Trans.Multimedia, vol. 11, no. 2, pp. 295–312, 2009.

[14]. Y. J. Liu, K. L. Lai, G. Dai, and M. M. F. Yuen, “A semantic feature model in concurrent engineering,” IEEE Trans. Autom. Sci. Eng., vol. 7, no. 3, pp. 659–665, 2010.

[15]. Ivan Herman, “Graph Visualization and Navigation in Information Visualization: a Survey”, IEEE Trans.2000