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Proceedings ArticleDOI

Rate-efficient, real-time cd cover recognition on a camera-phone

TLDR
A real-time CD cover recognition using a cameraphone and fast and reliable image matching against a database of 10,000 CD covers is accomplished using a scalable vocabulary tree.
Abstract
Automatic CD cover recognition has interesting applications for comparison shopping and music sampling. We demonstrate a real-time CD cover recognition using a cameraphone. By snapping a picture of a CD cover with her cameraphone, a user can conveniently retrieve information related to the CD. Robust image feature extraction is applied to overcome the image distortions in the query photo. To limit the amount of data transmitted over a wireless network, we compress the query image or features extracted from the query image. On the database side, fast and reliable image matching against a database of 10,000 CD covers is accomplished using a scalable vocabulary tree.

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Citations
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Proceedings ArticleDOI

Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features

TL;DR: This work presents a method that unifies tracking and video content recognition with applications to Mobile Augmented Reality (MAR), and introduces the Radial Gradient Transform (RGT) and an approximate RGT, yielding the Rotation-Invariant, Fast Feature (RIFF) descriptor.
Proceedings ArticleDOI

An interactive region-of-interest video streaming system for online lecture viewing

TL;DR: A design overview of the ClassX system and the evaluation results of a 3-month pilot deployment demonstrate that the system is a low-cost, efficient and pragmatic solution to interactive online lecture viewing.
Proceedings ArticleDOI

Mobile product recognition

TL;DR: This work uses inverted index compression and fast geometric re-ranking on their database to provide a low delay image recognition response for large scale databases.
Proceedings ArticleDOI

Fast geometric re-ranking for image-based retrieval

TL;DR: This work presents a fast and efficient geometric re-ranking method that can be incorporated in a feature based image-based retrieval system that utilizes a Vocabulary Tree (VT), and shows in experiments that re- ranking schemes can substantially improve recognition accuracy.
Proceedings ArticleDOI

Location coding for mobile image retrieval

TL;DR: This work investigates how to compress the location information and how lossy compression affects the geometric consistency check and proposes a context-based arithmetic coding with location refinement method to code the location histogram.
References
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Journal ArticleDOI

Distinctive Image Features from Scale-Invariant Keypoints

TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Book ChapterDOI

SURF: speeded up robust features

TL;DR: A novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features), which approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.
Proceedings ArticleDOI

Scalable Recognition with a Vocabulary Tree

TL;DR: A recognition scheme that scales efficiently to a large number of objects and allows a larger and more discriminatory vocabulary to be used efficiently is presented, which it is shown experimentally leads to a dramatic improvement in retrieval quality.
Proceedings ArticleDOI

Transform coding of image feature descriptors

TL;DR: It is shown that image and feature matching algorithms are robust to significantly compressed features, and a strong correlation between MSE and matching error for feature points and images is established.
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