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Mobile visual search using image and text features | IEEE Conference Publication | IEEE Xplore

Mobile visual search using image and text features


Abstract:

We present a mobile visual search system that utilizes both text and low bit-rate image features. Using a cameraphone, a user can snap a picture of a document image and s...Show More

Abstract:

We present a mobile visual search system that utilizes both text and low bit-rate image features. Using a cameraphone, a user can snap a picture of a document image and search for the document in online databases. From the query image, the title text is detected and recognized and image features are extracted and compressed, as well. Both types of information are sent from the cameraphone client to a server. The server uses the recognized title to retrieve candidate documents from online databases. Then, image features are used to select the correct document(s). We show that by using a novel geometric verification method that incorporates both text and image feature information, we can reduce the missed positives up to 50%. The proposed method can also speed up the geometric process, enabling a larger set of verified titles, resulting in a superior performance compared to previous schemes.
Date of Conference: 06-09 November 2011
Date Added to IEEE Xplore: 26 April 2012
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Conference Location: Pacific Grove, CA, USA

References

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