Method of collecting usage information

• US 8,806,520 B2
• Filed: 05/08/2012
• Issued: 08/12/2014
• Est. Priority Date: 09/26/2009
• Status: Active Grant

• Current Assignee: Mimik Technology Canada Incorporated
• Original Assignee: Mimik Technology, Inc.
• Inventors: Sharif-Ahmadi, Seyed, Arjomandi, Fay
• Primary Examiner(s): Bruckart, Benjamin R
• Assistant Examiner(s): Doshi, Akshay
• Application Number:
  US13/466,864
• Publication Number:
  US 20130125157A1
• Time in Patent Office: 826 Days
• Field of Search: 725 9- 16
• US Class Current: 725/14
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 43/0835 One way packet loss
• CPC Class Codes: H04L 43/0847 Transmission error
• CPC Class Codes: H04L 43/0888 Throughput
• CPC Class Codes: H04L 65/612 for unicast
• CPC Class Codes: H04L 65/756 adapting media to device capabilities
• CPC Class Codes: H04L 65/765 intermediate
• CPC Class Codes: H04L 67/025 for remote control or remote monitoring of applications
• CPC Class Codes: H04L 67/1021 based on client or server locations
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/56 Provisioning of proxy services store-and-forward switching systems in data switching networks H04L12/54
• CPC Class Codes: H04L 67/565 Conversion or adaptation of application format or content adding application control or application functional data H04L67/561
• CPC Class Codes: H04M 15/42 Dynamic individual rates per user
• CPC Class Codes: H04N 21/23113 involving housekeeping operations for stored content, e.g. prioritizing content for deletion because of storage space restrictions storage management, e.g. defragmentation G06F3/0604; snloading stored programs G06F9/445; housekeeping operations in file systems, e.g. deletion policies G06F16/10; buffering arrangements in a network node or in an end terminal in packet networks H04L49/90
• CPC Class Codes: H04N 21/2343 involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements video transcoding H04N19/40; media packet handling at the source H04L65/762
• CPC Class Codes: H04N 21/235 Processing of additional data, e.g. scrambling of additional data or processing content descriptors
• CPC Class Codes: H04N 21/25833 involving client hardware characteristics, e.g. manufacturer, processing or storage capabilities allocation of resources considering hardware capabilities in multiprogramming arrangements G06F9/5044; allocation of resources considering software capabilities in multiprogramming arrangements G06F9/5055
• CPC Class Codes: H04N 21/25891 : being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/2665 : Gathering content from different sources, e.g. Internet and satellite
• CPC Class Codes: H04N 21/4183 : providing its own processing capabilities, e.g. external module for video decoding
• CPC Class Codes: H04N 21/4263 : involving specific tuning arrangements, e.g. two tuners
• CPC Class Codes: H04N 21/4334 : Recording operations recording of a television signal H04N5/76; arrangements for recording or accumulating broadcast information or broadcast-related information H04H60/27
• CPC Class Codes: H04N 21/4335 : Housekeeping operations, e.g. prioritizing content for deletion because of storage space restrictions storage management, e.g. defragmentation G06F3/0604; unloading stored programs G06F9/445; storage management in file systems G06F16/10; buffering arrangements in a network node or in an end terminal in packet networks H04L49/90
• CPC Class Codes: H04N 21/43615 : Interfacing a Home Network, e.g. for connecting the client to a plurality of peripherals home Audio Video Interoperability [HAVI] data switching networks H04L12/2805
• CPC Class Codes: H04N 21/437 : Interfacing the upstream path of the transmission network, e.g. for transmitting client requests to a VOD server flow control in data networks H04L47/10; streaming protocols, e.g. RTP or RTCP, H04L65/65; scheduling or organising the servicing of application requests in data packet switching networks H04L67/60
• CPC Class Codes: H04N 21/4402 : involving reformatting operations of video signals for household redistribution, storage or real-time display details of conversion of video standards at pixel level H04N7/01; video transcoding H04N19/40; adapting incoming signals to the display format of the display terminal G09G5/005; media handling at the source in data packet switching networks H04L65/764
• CPC Class Codes: H04N 21/440245 : the reformatting operation being performed only on part of the stream, e.g. a region of the image or a time segment
• CPC Class Codes: H04N 21/44204 : Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31
• CPC Class Codes: H04N 21/44213 : Monitoring of end-user related data arrangements for monitoring the users' behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/44218 : Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• CPC Class Codes: H04N 21/44226 : on social networks
• CPC Class Codes: H04N 21/4532 : involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/458 : Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations arrangements for replacing or switching information during the broadcast or during the distribution H04H20/10
• CPC Class Codes: H04N 21/4667 : Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04W 4/027 : using movement velocity, acceleration information

Abstract

A method and system for micro-cloud computing is described. An application serving node, which is a specifically configured piece of customer premises equipment such as a set-top box, is the server for a micro-cloud network. Various user devices that form part of the micro-cloud network, such as television sets and smart phones, communicate with the application serving node. The application serving node is configured with software that allows various heterogeneous types of data to be obtained and streamed to the user devices in multiple ways. The application serving node performs much of the processing necessary for such content streaming itself and thus represents an edge-based network architecture.

Claims

1. A method of collecting information about usage patterns of a plurality of users and a plurality of user devices, comprising:

providing a server node, the plurality of user devices registered with said server node, each of said users registered with said server node, said server node located at a premises associated with said users, said server node configured to receive live television content, recorded, and Internet content via a network, and deliver said content to said plurality of user devices, the server node having a user characterization and history associated with each user, said server node providing content to said plurality of user devices via a plurality of network connection types;

determining, by the server node, for television content, when viewed by one of said users on one of said user devices, a channel watched, the program watched and a time the program was watched, and associating said channel, program and time with said user and said user device used to watch said content;

determining, by the server node, for recorded content, when viewed by one of said users on one of said user devices, a name of the recorded content, a number of times the recorded content was paused, a number of length of times the recorded content was fast forwarded, and a counter of the number of times the recorded content was watched;

determining, by the server node, for Internet content, when viewed by one of said users on one of said user devices, a URL of said Internet content, whether the URL was requested by said user or by a website, a classification of content of the URL, a classification of content at the URL selected by the user, a session start time and a session end time;

determining, by the server node, based on the user characterization of a user if a user session is typical or atypical of the user;

determining, by the server node, based on a comparison of changes in usage patterns of a plurality of users if a user session is based on a social variable; and

updating, by the server node, the user history and user characterization associated with said user based on the determinations.

2. The method of claim 1 wherein said server node further determines and stores information about the type of network used to transmit said content to said user device.

3. The method of claim 1 wherein the updated user characterization is stored by said server node.

4. The method of claim 1 wherein said server node further identifies a network connection used to obtain said recorded content and determines the quality of the experience of the recorded content.

5. A system for collecting information about usage patterns of user sessions of a plurality of users and a plurality of user devices, comprising:

a server node, each of said users and user devices registered with said server node, said server node located at a premises of said users, said serving node configured to receive live television content, recorded content, and Internet content via a network, and deliver said content to said plurality of user devices, said server node having a user characterization and user history for each of said users;

wherein said server node is configured to determine, for television content, when viewed by one of said users on one of said user devices, a channel watched, the program watched and a time the program was watched, and associating said channel, program and time with said user and said user device used to watch said content;

wherein said server node is configured to determine, for recorded content, when viewed by one of said users on one of said user devices, a name of the recorded content, a number of times the recorded content was paused, a number of length of times the recorded content was fast forwarded, and a counter of the number of times the recorded content was watched;

wherein said server node is configured to determine, for Internet content, when viewed by one of said users on one of said user devices, a URL of said Internet content, whether the URL was requested by said user or by a website, a classification of content of the URL, a classification of content at the URL selected by the user, a session start time and a session end time;

wherein said server node is configured to determine, based on the user characterization of a user if a user session is typical or atypical of the user;

wherein said server node is configured to determine, based on a comparison of changes in usage patterns of a plurality of users if a user session is based on a social variable; and

wherein said server node is configured to update the user history and user characterization based on said determinations.

6. The system of claim 5 wherein said server node is configured to determine and store information about the type of network used to transmit said content to said user device.

7. The system of claim 5 wherein said server node is configured to store the updated user characterization.

8. The system of claim 5 wherein said server node is configured to identify a network connection used to obtain said recorded content and determine the quality of the experience of the recorded content.