- Redmond WA, US Arihant NAHATA - Bellevue WA, US Diego VILLASENOR - Woodinville WA, US Siddharth Deepak MEHTA - Kirkland WA, US Pritesh KANANI - Redmond WA, US William Edward MIAO - Bellevue WA, US Rajasekaran SUBRAMANIAN - Redmond WA, US Sivakumar Gobichettypalayam ANANTHAKRISHNAN - Redmond WA, US Yong LIU - Sammamish WA, US
International Classification:
G06F 11/34 G06F 17/27 G06F 11/36 G06F 11/07
Abstract:
Technologies for assigning a user-generated issue report to an appropriate team for investigation are disclosed. A log file associated with an issue report is parsed to create an object model. The object model is a hierarchy of objects containing data emitted over time by a computer application associated with the issue report. Rules analyze the content of the object model, and when a rule is satisfied, the issue report is assigned to a team associated with the rule for investigation. Rules may access objects in the object model on a per-component level, thereby allowing issues to be assigned to teams at the level of individual components. Rules may also perform a root cause analysis of the issue based on the object model.
Efficient Streaming Video For Static Video Content
- Redmond WA, US Ming-Chieh Lee - Bellevue WA, US Siddharth Deepak Mehta - Kirkland WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
H04N 19/159 H04N 19/136 H04N 19/70
Abstract:
Techniques are described for streaming video content between computing devices. For example, a computing device can stream encoded video content to one or more receiving devices. The computing device can detect whether video content to be encoded is static content or dynamic content and switch the coding structure accordingly. For example, if the video content is determined to be static video content, then the static content can be encoded using a first predictive coding structure in which the first video frame is encoded as a single key frame and subsequent video frames are encoded as predicted frames that are non-reference frames and that only reference the single key frame. If the video content is determined to be dynamic video content, then the dynamic content can be encoded using a second predictive coding structure different from the first predictive coding structure.
Name / Title
Company / Classification
Phones & Addresses
Siddharth N. Mehta Mgr
Trans Union LLC Credit Reporting Agencies
1001 Bishop St Ste 1600, Pauahi Tower, Honolulu, HI 96813-3698 8085260001, 8085215076
Siddharth N. Mehta
Myelin Repair Foundation Nonprofit Organization Management · Repair Services · Voluntary Health Organizations
18809 Cox Ave STE 190, Saratoga, CA 95070 188809 Cox Ave SUITE 190, Saratoga, CA 95070 4088712406
La Trobe University - Master of Information Technology, La Trobe University - MBA, VCET - B.E. IT
Siddharth Mehta
Work:
Contract Advertising - Copywriting (17)
Education:
Delhi Public School
Tagline:
Just another average Indian
Siddharth Mehta
Work:
Mehta & Padamsey
Education:
Columbia Law School
Siddharth Mehta
Education:
Lilavatibai Podar High School
Tagline:
Keep exploring yourself and live life to the fullest...
Siddharth Mehta
Education:
Fiitjee
About:
I like ...hmmm...lets say .... basketball,gamin,surfin d net, chattin, swimmin , adventure, i am a chocohoic!!!, love androids .... nd many more things i cant remember ...:p