Flextronics Ap, LLC

Aricent, Inc.

Aricent Group

Ramkishor Korada

Kopparapu Suman

Pallapothu Shyam Sundera Bala Koteswara Gupta

Krishna Govindarao

Ruturaj Anand Chandpur

Sunil Koteyar

Raghu Tippuru SrikanthaRao

Dakala Jayachandra

Ramakrishna Venkata Meka

Gunupudi Nageswararao

Rongali Satya Vara Prasad

A system and method for determining the efficient number of reference frames which are to be evaluated for an image using frame level adaptation techniques. The system and method determines and updates the number of reference frames which are to be searched based on the reference frame selection statistics of the previously coded frame. Preferably, the invention increases the number of reference frames to be referred when a first desired ratio of blocks refer to the furthest reference frame. The invention decreases the number of reference frames if a second desired ratio of blocks refer to the furthest reference frame. The motion value is considered in increasing the number of reference frames. The invention evaluates whether portions of the image frames are static, thereby terminating motion vector searches on that portion.

Dynamic reference frame decision method and system

Disclosed herein is a method for global motion estimation for video stabilization. The method enables selecting a video frame from a video stream. The method further enables downscaling the video frames by factor close to 2 in a two dimensional range, dividing the downscaled video frame into a plurality of macroblocks, performing motion estimation for the macroblocks to generate a set of local motion vectors. Further, the method enables selecting macroblocks representing global motion vectors from the set of local motion vectors, computing a single global motion vector for the selected macroblocks and determining occurrence of at least one of: scene change, illumination change or crossing object and modifying the single global vector to compensate for errors induced due to occurrence of at least one of: scene change, illumination change or crossing object.

Method and system for intelligent and efficient camera motion estimation for video stabilization

Systems and computer-readable medium are disclosed for automatic white balancing of an input image. Accordingly, the system includes a cast detector configured to receive and classify an input image based at least in part on a selection of constituent pixels of the input image. The cast detector is further configured to select the constituent pixels based on a computed reliability of each of the constituent pixels to convey at least one characteristic of a capture illuminant. The system further includes a cast balancer. The cast balancer is configured to perform white balancing of the input image based on the classification of the input image by the cast detector. The cast balancer is further configured to identify the capture illuminant based on at least one characteristic represented by each of the selected constituent pixels.

System and computer-readable medium for automatic white balancing

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Bengaluru, India

Ramkishor Korada