Intel Corporation

Indian Statistical Institute

Other

Malay Kumar Kundu

Tinku Acharya

Bhargab Bikram Bhattacharya

Chivukula Anjaneya Murthy

Arijit Bishnu

Partha Bhowmick

Jayanta K Dey

Suman Kumar Mitra

Sandip Das

Bhaskar Dey

Arindam Biswas

Subhas C Nandy

Technologies are generally described to identify foreground motion detection in compressed video data. In some examples, a foreground motion detection module may determine transform-coefficient-magnitude sums and motion-vector-magnitude sums associated with block coding units (BCUs) in compressed video data without decompressing the video data. The foreground motion detection module may also determine a background mean and a background co-variance associated with the compressed video data. To determine whether the BCU(s) contain foreground motion, the foreground motion detection module may determine a statistic based on the transform-coefficient-magnitude sums, the motion-vector magnitude sums, the background mean, and the background co-variance and compare the statistic to a threshold.

Foreground motion detection in compressed video data

Disclosed is a method and apparatus to provide for fingerprint minutiae matching using scoring techniques. A plurality of minutiae in a fingerprint image is defined. A score associated with each minutia corresponding to the validity of each minutia is estimated. The fingerprint image is then matched against one or more sample fingerprint images utilizing a partial point set pattern matching (PSPM) algorithm.

Fingerprint minutiae matching using scoring techniques

Embodiments of a method and/or apparatus to provide a binary image are disclosed.

Method and apparatus for providing a binary fingerprint image

Embodiments of an architecture for processing gray-level images is disclosed.

Architecture for processing fingerprint images

An Euler number representation of a binary image is calculated. The binary image is considered as a series of partial images. The Euler number for each partial image is calculated using properties of runs of zeros and ones in the pixel matrix, and the results are combined together. The operations may be performed sequentially or in parallel. The calculations may be performed using discrete logic components for on-chip VLSI implementations.

Computing the Euler number of a binary image

A method of encoding a watermark into a digital image. The method includes partitioning an original image into blocks and then determining a variance value of each block. The blocks are then arranged according to the variance values. A number of selected blocks are identified, where the number depends upon the size of the watermark. The blocks selected are then arranged by their location. Data from the watermark is used to replace bits in a representation of each of the selected blocks with data from the watermark. A method of decoding is also discussed.

Method for block-based digital image watermarking

Several embodiments in accordance with the invention are disclosed. An embodiment for compressing a gray scale image is described and an embodiment for decompressing the codebook produced by compressing the gray scale image is described. Of course, the invention is not limited to only gray scale images, however.

Method of compressing an image

A Mahalanobis distance measure is used to identify a query image among plural images in a database. The measure may be used to rank the similarity of one or more images to the query image. A variance-covariance matrix is calculated for all images in the database. The variance-covariance matrix is used to calculate the Mahalanobis distance between the query image and one or more images in the database. A range tree may be used to identify likely image candidates for performing the Mahalanobis distance measurement.

Growing community of inventors

Calcutta, India

Malay Kumar Kundu