ACM Home Page
Please provide us with feedback. Feedback
Vidya: an experiential annotation system
Full text PdfPdf (479 KB)
Source International Multimedia Conference archive
Proceedings of the 2003 ACM SIGMM workshop on Experiential telepresence table of contents
Berkeley, California
SESSION: Demo experience table of contents
Pages: 91 - 98  
Year of Publication: 2003
ISBN:1-58113-775-3
Authors
Bageshree Shevade  Arizona State University, AZ
Hari Sundaram  Arizona State University, AZ
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGCOMM: ACM Special Interest Group on Data Communication
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 16,   Citation Count: 4
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/982484.982502
What is a DOI?

ABSTRACT

In this paper, we present a novel annotation paradigm with an emphasis on two facets -- (a) the end user experience and (b) semantic propagation. The annotation problem is important since media semantics play a key role in new multimedia applications. However, there is currently very little incentive for end users to annotate.The annotation system, is interactive and experiential. We attempt to propagate semantics of the annotations, by using WordNet, a lexicographic arrangement of words, and low-level features extracted from the images. We introduce novel semantic dissimilarity measures, and propagation frameworks. The system provides insight to the user, by providing her with knowledge sources, that are constrained by the user and media context. The knowledge sources are presented using context-aware hyper-mediation.Our Experimental results indicates that the systems performs well. We tested the new annotation experience using a pilot user study, the users agreed that the new framework was more useful that a traditional annotation interface. The semantic propagation results are good as well -- we converge close to the semantics of the image by annotating a small number (~15%) of database images.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Merriam Webster Dictionary <u>http://www.m-w.com.</u>
 
2
Google <u>http://www.google.com.</u>
 
3
OpenCyc <u>http://www.opencyc.org.</u>
 
4
V. BUSH (1945). As We May Think. <u>The Atlantic Monthly</u>. 176: 101--108, <u>http://www.theatlantic.com/unbound/flashbks/computer/bushf.htm.</u>
 
5
E. CHANG, K. GOH, G. SYCHAY, et al. (2003). CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines. <u>IEEE Transactions on Circuits and Systems for Video Technology</u> 13(1): 26--38.
 
6
7
8
 
9
10
11
 
12
I. KANT, P. GUYER and A. W. WOOD (1998). <u>Critique of pure reason</u>. Cambridge ; New York, Cambridge University Press.
 
13
G. A. MILLER, R. BECKWITH and C. FELLBAUMIntroduction to WordNet: An on-Line Lexical Database. <u>International Journal of Lexicography</u> 3(4): 235--244.
 
14
G. A. MILLER, R. BECKWITH and C. FELLBAUM (1993). Introduction to WordNet: An on-Line Lexical Database. <u>International Journal of Lexicography</u> 3(4): 235--244.
 
15
 
16
J. RAMAMOORTHY, S. WONG and H. SUNDARAM (2003). Dynamic Adaptive Visualizations. Arts Media and Engineering Center, ASU, AME-TR-2003-03, 2003.
17
 
18
 
19
H. SRIDHARAN, H. SUNDARAM and T. RIKAKIS (2003). Context, memory and Hyper-mediation in Experiential Systems. Arts Media and Engineering Center, ASU, AME-TR-2003-02, 2003.
20
 
21
H. SUNDARAM and T. RIKAKIS (2003). An Introduction to Experiential Systems. Arts Media and Engineering Center, ASU, AME-2003-01, 2003.
 
22
L. WENYIN, S. DUMAIS, Y. SEN, et al. (2001). Semi-Automatic Image Annotation, Proc. Human-Computer Interaction--Interact 01, pp. 326--333,
23


Collaborative Colleagues:
Bageshree Shevade: colleagues
Hari Sundaram: colleagues