Intelligent Image Processing
Ordinal-measure based shape correspondence
EURASIP Journal on Applied Signal Processing - Image analysis for multimedia interactive services - part I
ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Robust voting algorithm based on labels of behavior for video copy detection
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Video copy detection: a comparative study
Proceedings of the 6th ACM international conference on Image and video retrieval
An exposure invariant video retrieval method for eyetap devices
VRCAI '08 Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
Content-Based Copy Retrieval Using Distortion-Based Probabilistic Similarity Search
IEEE Transactions on Multimedia
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In this paper, we present a framework called "What-you-see-is-what-I-see (WYSIWIS)". The framework describes a new trend for multimedia information (such as images and videos) sharing using an Eyetap device and a method to retrieve similar multimedia content. This Eyetap device is equipped with a video camera and networking capability. It can be used to capture an image or recording a video of a place being visited, sending it to the server to get the information about this place (through search mechanism), the captured image/video is then stored into the server for sharing. With this function, mobile users can also share the capturing video in real-time. This is similar to mobile phone equipped with video conference function. However, it is more convenient as users just wear this Eyetap device as normal glasses and performs their daily routine while stay connected.