This work proposes a novel spoken term detection technique, where the query is in audio format. Detection and retrieval are performed by matching the spectrograms of the spoken do...
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
This paper presents a novel method for image classification. It differs from previous approaches by computing image similarity based on region matching. Firstly, the images to be ...
Abstract. We describe a novel approach to view interpolation from image sequences based on probabilistic depth carving. This builds a multivalued representation of depth for novel ...
The SIFT (Scale Invariant Feature Transform) descriptor is a widely used method for matching image features. However, perfect scale invariance can not be achieved in practice becau...