Adobe, Inc.

Deepak Pai

Shriram Revankar

Shyam Sundar Rajagopalan

Arsh Sood

Parimi Krishna Chaitanya

Meghanath Macha Yadagiri

Abhijit Sharang

Shradha Agrawal

Example systems and methods of classifying web visitor sessions based on clickstreams are presented. In one example, a plurality of web pages of a website is organized into a plurality of web page categories. A clickstream of each visitor to visit the plurality of web page categories of the website are divided into a plurality of visitor sessions. A mathematical distance between each of the plurality of visitor sessions is determined using a visitation metric based on the web page categories. Each of the visitor sessions is classified into a target group or a non-target group based on the mathematical distance between each of the visitor sessions and on an identification of at least one of the visitor sessions with an event corresponding to the target group.

Visitor session classification based on clickstreams

Systems and methods are presented for processing sequences of video frames in a distributed video coding environment. Video frames chosen as key video frames are encoded in their entirety on a sending device, and the encodings are forwarded to a receiving device. Non-key video frames are partitioned into blocks of pixels which are individually processed at the sending device. Some pixel blocks are designated for reconstruction at the receiving device using a similar corresponding pixel block from a previous video frame, and the sending device does not encode those pixel blocks. Other pixel blocks are compressed at the sending device into representations that are sent to the receiving device to facilitate reconstruction of the other pixel blocks at the receiving device. Exceptional efficiency and accuracy may be achieved by employing spatiograms and singular value decompositions in processing pixel blocks of the non-key video frames at the sending device.

Efficient encoding of video frames in a distributed video coding environment

Systems and methods are presented for reconstructing sequences of video frames received from a sending device in a distributed video coding environment. Some of the video frames are received as key video frames fully encoded at the sending device. Others are received as non-key video frames partitioned into pixel blocks. Some of the pixel blocks are indicated for reconstruction via a corresponding previous pixel block of a previous video frame, while other pixel blocks are to be reconstructed by decoding encodings of those pixel blocks received from the sending device. Each received encoding of a pixel block is based on contents of the non-key video frame that contains the pixel block and not on contents of the previous key video frame, nor on contents of any other video frame positioned between the previous key video frame and the non-key video frame in the sequence of video frames.

Reconstructing efficiently encoded video frames in a distributed video coding environment

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Bengaluru, India

Deepak Pai