In-Video Product Annotation with Web Information Mining (11153N)
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IDA Technology Roadmap 2012 This technology falls in the following categories of Singapore's IDA Infocomm Technology Roadmap 2012:
Technology Overview This invention is a novel solution to the annotation of specific products in videos by mining information from the Web. The invention introduces a method to collect a set of high-quality training data for electronic products by simultaneously leveraging Amazon and Google image search engine. A visual signature for each product is obtained that can be, in turn, used to annotate video frames. For more information on this technology contact: |
Development Status Technology Readiness Level 3 on the scale by the Ministry of Defence Singapore. About the Research Group Professor Chua Tat-Seng is founding Dean of the School of Computing at NUS and director of the NExT Center, a joint venture between NUS and Tsinghua University with the support of MDA of Singapore. The center focuses on crawling and mining user-generated content in Singapore and China in the areas of location-oriented information, topic-oriented information, application-oriented information and structured information. |