Object detection is a key ability required by most computer and robot vision systems. The
latest research on this area has been making great progress in many directions. In the …

Object detection and recognition are important problems in computer vision. Since these
problems are meta-heuristic, despite a lot of research, practically usable, intelligent, real …

This paper presents a novel image feature representation method, called multi-texton
histogram (MTH), for image retrieval. MTH integrates the advantages of co-occurrence …

Most existing feature learning-based methods for RGB-D object recognition either combine
RGB and depth data in an undifferentiated manner from the outset, or learn features from …

The Bag-of-Words (BoW) model is a promising image representation technique for image
categorization and annotation tasks. One critical limitation of existing BoW models is that …

In this paper, we develop a novel variational Bayesian learning method for the Dirichlet
process (DP) mixture of the inverted Dirichlet distributions, which has been shown to be very …

Bag-of-words (BOW), which represents an image by the histogram of local patches on the
basis of a visual vocabulary, has attracted intensive attention in visual categorization due to …

This paper presents two look-ahead techniques for speeding up large vocabulary
continuous speech recognition. These two techniques are the language model look-ahead …

Steganalysis and forgery detection in image forensics are generally investigated separately.
We have designed a method targeting the detection of both steganography and seam …

US10169686B2 - Systems and methods for image classification by correlating contextual
cues with images - Google Patents US10169686B2 - Systems and methods for image …