Patents by Inventor Vijay Mahadevan
Vijay Mahadevan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10163041Abstract: Disclosed are systems and methods for automatic selection of canonical digital images from a large corpus of digital images, such as the corpus of digital images available on the web, for an entity, such as and without limitation a person, a point of interest, object, etc. The automated, unsupervised approach for selecting a diverse set of high quality, canonical digital images, is well suited for processing a large corpus of digital images. A set of canonical digital images identified for an entity can be retrieved in response to a digital image request for digital images depicting the entity.Type: GrantFiled: June 30, 2016Date of Patent: December 25, 2018Assignee: OATH INC.Inventors: Sachin Sudhakar Farfade, Vijay Mahadevan, Ayman Kaheel, Ayyappan Arasu, Venkat Kumar Reddy Barakam, Jan Kiran Mahadeokar
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Publication number: 20180260417Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosure provides a novel, computerized framework for automatically selecting the most definitive, precise and high-quality content files corresponding to POIs. The disclosed systems and methods utilize the performance of visual comparisons with a set of definitive content files of a given POI, and by incorporating visual aesthetic features as a factor of such comparisons, a search result is identified that down-weights imprecise and poor quality content files of a given POI, and ensures that only high quality, accurate content files are selected or identified.Type: ApplicationFiled: March 7, 2017Publication date: September 13, 2018Inventors: Vijay MAHADEVAN, Sachin Sudhakar FARFADE, Jay Kiran MAHADEOKAR, Ayyappan ARASU, Venkat Kumar Reddy BARAKAM, Ayman KAHEEL
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Publication number: 20180005088Abstract: Disclosed are systems and methods for automatic selection of canonical digital images from a large corpus of digital images, such as the corpus of digital images available on the web, for an entity, such as and without limitation a person, a point of interest, object, etc. The automated, unsupervised approach for selecting a diverse set of high quality, canonical digital images, is well suited for processing a large corpus of digital images. A set of canonical digital images identified for an entity can be retrieved in response to a digital image request for digital images depicting the entity.Type: ApplicationFiled: June 30, 2016Publication date: January 4, 2018Inventors: Sachin Sudhakar Farfade, Vijay Mahadevan, Ayman Kaheel, Ayyappan Arasu, Venkat Kumar Reddy Barakam, Jan Kiran Mahadeokar
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Publication number: 20160255043Abstract: A method and apparatus of a device that starts an address resolution service on a network element after a boot-up of this network element is described. In an exemplary embodiment, the network element sends an indication of the boot-up. The network element further sends a request for an address resolution table and receives a reply with the requested address resolution table. In addition, the network element starts the address resolution service using the requested address resolution table.Type: ApplicationFiled: February 2, 2016Publication date: September 1, 2016Inventors: Vijay MAHADEVAN, Dileep Honsoge RAMESH, Adam James Sweeney
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Patent number: 9210327Abstract: Users are provided with feedback regarding blurriness of an image in real-time. When an image is received, a blur score is automatically generated in addition to a visual that indicates the extent of blurriness across the picture. The blur score is calculated by aggregating an image_blur_score and optionally a motion_blur_score. A user can also be provided with suggestions on improving image sharpness and help in determining if another image needs to be taken.Type: GrantFiled: December 2, 2013Date of Patent: December 8, 2015Assignee: YAHOO! INC.Inventors: Gaurav Aggarwal, Nikhil Rasiwasia, Kshitiz Garg, Vijay Mahadevan
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Publication number: 20150156419Abstract: Users are provided with feedback regarding blurriness of an image in real-time. When an image is received, a blur score is automatically generated in addition to a visual that indicates the extent of blurriness across the picture. The blur score is calculated by aggregating an image_blur_score and optionally a motion_blur_score. A user can also be provided with suggestions on improving image sharpness and help in determining if another image needs to be taken.Type: ApplicationFiled: December 2, 2013Publication date: June 4, 2015Applicant: YAHOO! INC.Inventors: Gaurav Aggarwal, Nikhil Rasiwasia, Kshitiz Garg, Vijay Mahadevan
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Patent number: 9025673Abstract: The disclosure is directed to techniques for evaluating temporal quality of encoded video. Instead of estimating jerkiness based solely on frame rate or motion activity, the number of consecutive dropped frames forms a basic estimation unit. Several human visual system factors, such as sensitivity to temporal quality fluctuation and motion activity, have been taken into account to make the predicted jerkiness more consistent with the actual human visual response. The temporal quality metric can be used to estimate human perceived discomfort that is introduced by temporal discontinuity under various combinations of video shots, motion activity and local quality fluctuations. The techniques can be applied in two modes: (1) bitstream or (2) pixel mode. The quality metric can be used to evaluate temporal quality, or to control encoding or decoding characteristics to enhance temporal quality.Type: GrantFiled: June 8, 2006Date of Patent: May 5, 2015Assignee: QUALCOMM IncorporatedInventors: Kai-Chieh Yang, Khaled Helmi El-Maleh, Vijay Mahadevan
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Patent number: 8744203Abstract: The disclosure is directed to decoder-side region-of-interest (ROI) video processing. A video decoder determines whether ROI assistance information is available. If not, the decoder defaults to decoder-side ROI processing. The decoder-side ROI processing may estimate the reliability of ROI extraction in the bitstream domain. If ROI reliability is favorable, the decoder applies bitstream domain ROI extraction. If ROI reliability is unfavorable, the decoder applies pixel domain ROI extraction. The decoder may apply different ROI extraction processes for intra-coded (I) and inter-coded (P or B) data. The decoder may use color-based ROI generation for intra-coded data, and coded block pattern (CBP)-based ROI generation for inter-coded data. ROI refinement may involve shape-based refinement for intra-coded data, and motion- and color-based refinement for inter-coded data.Type: GrantFiled: April 27, 2012Date of Patent: June 3, 2014Assignee: QUALCOMM IncorporatedInventors: Khaled Helmi El-Maleh, Vijay Mahadevan, Haohong Wang
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Patent number: 8582660Abstract: This disclosure is directed to techniques for selective video frame rate upconversion (FRUC) in a video decoder. A video decoder selectively enables or disables FRUC based on one or more adaptive criteria. The adaptive criteria may be selected to indicate whether FRUC is likely to introduce spatial artifacts. Adaptive criteria may include a motion activity threshold, a mode decision threshold, or both. The criteria are adaptive, rather than fixed. When the criteria indicate that a frame includes excessive motion or new content, the decoder disables FRUC.Type: GrantFiled: August 29, 2006Date of Patent: November 12, 2013Assignee: QUALCOMM IncorporatedInventors: Vijay Mahadevan, Brijesh Pillai, Khaled Helmi El-Maleh, Fang Shi, Vijayalakshmi R. Raveendran
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Patent number: 8315466Abstract: The disclosure is directed to decoder-side region-of-interest (ROI) video processing. A video decoder determines whether ROI assistance information is available. If not, the decoder defaults to decoder-side ROI processing. The decoder-side ROI processing may estimate the reliability of ROI extraction in the bitstream domain. If ROI reliability is favorable, the decoder applies bitstream domain ROI extraction. If ROI reliability is unfavorable, the decoder applies pixel domain ROI extraction. The decoder may apply different ROI extraction processes for intra-coded (I) and inter-coded (P or B) data. The decoder may use color-based ROI generation for intra-coded data, and coded block pattern (CBP)-based ROI generation for inter-coded data. ROI refinement may involve shape-based refinement for intra-coded data, and motion- and color-based refinement for inter-coded data.Type: GrantFiled: December 22, 2006Date of Patent: November 20, 2012Assignee: QUALCOMM IncorporatedInventors: Khaled Helmi El-Maleh, Vijay Mahadevan, Haohong Wang
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Publication number: 20120213409Abstract: The disclosure is directed to decoder-side region-of-interest (ROI) video processing. A video decoder determines whether ROI assistance information is available. If not, the decoder defaults to decoder-side ROI processing. The decoder-side ROI processing may estimate the reliability of ROI extraction in the bitstream domain. If ROI reliability is favorable, the decoder applies bitstream domain ROI extraction. If ROI reliability is unfavorable, the decoder applies pixel domain ROI extraction. The decoder may apply different ROI extraction processes for intra-coded (I) and inter-coded (P or B) data. The decoder may use color-based ROI generation for intra-coded data, and coded block pattern (CBP)-based ROI generation for inter-coded data. ROI refinement may involve shape-based refinement for intra-coded data, and motion- and color-based refinement for inter-coded data.Type: ApplicationFiled: April 27, 2012Publication date: August 23, 2012Applicant: QUALCOMM IncorporatedInventors: Khaled Helmi El-Maleh, Vijay Mahadevan, Haohong Wang
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Publication number: 20080152245Abstract: The disclosure is directed to decoder-side region-of-interest (ROI) video processing. A video decoder determines whether ROI assistance information is available. If not, the decoder defaults to decoder-side ROI processing. The decoder-side ROI processing may estimate the reliability of ROI extraction in the bitstream domain. If ROI reliability is favorable, the decoder applies bitstream domain ROI extraction. If ROI reliability is unfavorable, the decoder applies pixel domain ROI extraction. The decoder may apply different ROI extraction processes for intra-coded (I) and inter-coded (P or B) data. The decoder may use color-based ROI generation for intra-coded data, and coded block pattern (CBP)-based ROI generation for inter-coded data. ROI refinement may involve shape-based refinement for intra-coded data, and motion- and color-based refinement for inter-coded data.Type: ApplicationFiled: December 22, 2006Publication date: June 26, 2008Inventors: Khaled Helmi El-Maleh, Vijay Mahadevan, Haohong Wang
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Publication number: 20070242748Abstract: This disclosure is directed to techniques for selective video frame rate upconversion (FRUC) in a video decoder. A video decoder selectively enables or disables FRUC based on one or more adaptive criteria. The adaptive criteria may be selected to indicate whether FRUC is likely to introduce spatial artifacts. Adaptive criteria may include a motion activity threshold, a mode decision threshold, or both. The criteria are adaptive, rather than fixed. When the criteria indicate that a frame includes excessive motion or new content, the decoder disables FRUC.Type: ApplicationFiled: August 29, 2006Publication date: October 18, 2007Inventors: Vijay Mahadevan, Brijesh Pillai, Khaled Helmi El-Maleh, Fang Shi, Vijayalakshmi R. Raveendran
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Publication number: 20070237227Abstract: The disclosure is directed to techniques for evaluating temporal quality of encoded video. Instead of estimating jerkiness based solely on frame rate or motion activity, the number of consecutive dropped frames forms a basic estimation unit. Several human visual system factors, such as sensitivity to temporal quality fluctuation and motion activity, have been taken into account to make the predicted jerkiness more consistent with the actual human visual response. The temporal quality metric can be used to estimate human perceived discomfort that is introduced by temporal discontinuity under various combinations of video shots, motion activity and local quality fluctuations. The techniques can be applied in two modes: (1) bitstream or (2) pixel mode. The quality metric can be used to evaluate temporal quality, or to control encoding or decoding characteristics to enhance temporal quality.Type: ApplicationFiled: June 8, 2006Publication date: October 11, 2007Inventors: Kai-Chieh Yang, Khaled Helmi El-Maleh, Vijay Mahadevan