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Crossing textual and visual content in different application scenarios
Published on 2008-02-143220 Views
In this presentation, we present a method based on Trans-media Pseudo-Relevance Feedback that allows crossing visual and textual content through multimodal knowledge base. The main idea is to use one
Presentation
Crossing textual and visual content in different application scenarios00:00
The main idea - 100:17
An example scenario - 101:05
An example scenario - 202:11
The main idea - 202:53
Outline02:59
Image similarity03:16
Low-level features03:52
Visual vocabulary with a GMM04:16
The Fisher vector04:24
Similarity between images04:50
Example of retrieved images in our TBAS05:13
Image metadata examples in TBAS using GVC05:45
Text Representation06:40
Fusion between image and text07:21
Intermediate level fusion08:16
Pseudo feedback (PF)09:14
Text illustration09:48
Image annotation11:00
Examples of auto-annotation from the repository11:36
Information retrieval12:07
Retrieval results of ImageClefPhoto14:00
Relating text and image through a repository15:01
Examples of a p es o text and images linked by the TBAS15:47
Conclusion16:20
Thank you16:55
Performance of our GVC20:12