A method for categorizing multiple users of a website based on their respective transition patterns between successive types of user activities is implemented at a computing device having one or more processors and memory. After receiving one or more log files from a data source, the computing device generates respective event transition matrixes for multiple users in accordance with the users' event records such that each element of each respective event transition matrix includes a probability of an occurrence of two consecutive event types A and B for the same user. Based on an analysis of the multiple users' event transition matrixes, the computing device categorizes the multiple users into at least two distinct groups of users and performs one or more operations to the website's user accounts associated with one or more users from one of the groups.

Method and system for website user account management based on event transition matrixes

Methods, systems, and techniques to enhance computer vision application processing are disclosed. In particular, the methods, systems, and techniques may reduce power consumption for computer vision applications and improve processing efficiency for computer vision applications.

Computer vision application processing

A method is provided in one example and includes receiving a request from a first network element associated with a first network for establishing a first communication session between the first network element to a first user device associated with a second network. The request includes a first user identifier used to identify a first user associated with the first user device within the first network. The method further includes translating the first user identifier to a second user identifier in which the second user identifier is used to identify the first user within the second network. The method still further includes sending a first query including the second user identifier to a second network element, and receiving a first response message including quality of service information indicated by a policy associated with the second user identifier.

Integrated signaling between mobile data networks and enterprise networks

A processing device receives at least a first set of images from a capture device. The first set of images can be a video clip captured using a first frame rate over a first duration of time. The processing device analyzes the first set of images to determine one or more properties associated with the images. Based upon the determined properties, the first set of images is modified and played back at a second frame rate over a second duration of time.

Automatically curating video to fit display time

Aspects of the present invention relate to methods for decoding data. According to one aspect of the present invention, candidate motion vector is identified in a candidate set including at least one of candidate motion vectors spatially predictive, candidate motion vectors temporally predictive and candidate motion vectors spatiotemporally predictive.

System for nested entropy encoding

This disclosure provides intelligent frame skipping techniques that may be used by an encoding device or a decoding device to facilitate frame skipping in a manner that may help to minimize quality degradation due to the frame skipping. In particular, the described techniques may implement a similarity metric designed to identify good candidate frames for frame skipping. In this manner, noticeable reductions in the video quality caused by frame skipping, as perceived by a viewer of the video sequence, may be reduced relative to conventional frame skipping techniques. The described techniques advantageously operate in a compressed domain.

Chia-Yuan Teng

Papers

Intelligent frame skipping in video coding based on similarity metric in compressed domain