• No results found

Semantic, Automatic Image Annotation Based On Multi Layered Active Contours and Decision Trees

N/A
N/A
Protected

Academic year: 2020

Share "Semantic, Automatic Image Annotation Based On Multi Layered Active Contours and Decision Trees"

Copied!
7
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1.Architecture of our Automatic Image Annotation process.
Fig. 2.Feature extraction with (a) N-cut method; (b) edge map; (c) first-layer multi-feature active contour; (d) second-layer multi-feature active contour.Best viewed in color.
Fig. 4.Examples of four semantic classes of our dataset: (a) rowing; (b) sailing; (c) surfing; (d) windsurfing.
Fig. 6.Confusion matrices for image classification using (a) one-layer multi-feature active contour; (b) two-layer multi-feature active contour
+2

References

Related documents

use or modify the software as they choose. Although a lease of personal or real property may provide contractual limitations on the lessee ’ s ability to use or modify the

• Follow up with your employer each reporting period to ensure your hours are reported on a regular basis?. • Discuss your progress with

National Conference on Technical Vocational Education, Training and Skills Development: A Roadmap for Empowerment (Dec. 2008): Ministry of Human Resource Development, Department

(Although basic math facts include addition, subtraction, multiplication, and division, this study tested multiplication only.) The students’ fluency was then related to their

After Day, in the lighting of Moon Night wakens under a prayer to call hush to Day, time to commune. with Night, windswept under

19% serve a county. Fourteen per cent of the centers provide service for adjoining states in addition to the states in which they are located; usually these adjoining states have

• At least 6 years relevant experience in large-scale infrastructure projects with relevant experience in safety, quality, contract and programme management.. • Strong

There are three key parts to the methodology for gen- erating the “urban weather projections” that result from the combined urban classification and simulation model- ling (Fig.