USER DEVICE WITH ACCESS BEHAVIOR TRACKING AND FAVORITE PASSAGE IDENTIFYING FUNCTIONALITY

• US 20150228307A1
• Filed: 04/20/2015
• Published: 08/13/2015
• Est. Priority Date: 03/17/2011
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Cabanero, Christian R.
• Granted Patent: US 9,747,947 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24 Querying
• 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: G11B 27/10 Indexing; Addressing; Timing or synchronising; Measuring tape travel
• CPC Class Codes: H04N 21/2353 specifically adapted to content descriptors, e.g. coding, compressing or processing of metadata
• 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 21/44218 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 9/87 Regeneration of colour television signals H04N9/80 takes precedence

Abstract

A user device presents passages of an electronic publication. The user device tracks a user'"'"'s access behavior for the passages of the electronic publication. The user device identifies the user'"'"'s favorite passages of the electronic publication based on the user'"'"'s access behavior and stores an identification of the user'"'"'s favorite passages.

Claims

1. (canceled)

2. A method, implemented by a user device, comprising:

presenting a video clip of a video, wherein the video clip is associated with a location identifier identifying a location of the video clip in the video;

determining access behavior for the video clip, wherein determining the access behavior for the video clip comprises;

determining an amount of time that the video clip is presented; and

determining a number of times that the video clip is presented;

determining that video clips from one or more videos of a plurality of videos fails to satisfy a filtering criterion;

removing the one or more videos from the plurality of videos to result in one or more remaining videos;

identifying one or more favorite videos from the one or more remaining videos based at least in part on the access behavior; and

generating a first marker that is usable to navigate to a favorite video of the one or more favorite videos.

3. The method of claim 2, further comprising:

determining that the first video clip is associated with a sequence of location identifiers, a first location identifier of the sequence of location identifiers identifying a location of a frame of the video in the first video clip; and

navigating to the frame of the video clip associated with the first location identifier using the first marker.

4. The method of claim 2, wherein the filtering criterion is a threshold, and wherein identifying the one or more favorite videos comprises:

generating a score for the first video clip based on at least one of the amount of time that the first video clip was presented or the number of times that the first video clip was presented, wherein removing the one or more videos comprises removing those videos comprising video clips having scores that fail to satisfy the threshold;

ranking the remaining videos based on the scores of the video clips; and

identifying highest ranked videos as the one or more favorite videos.

5. The method of claim 4, further comprising:

computing the threshold based on additional access behavior over the plurality of videos.

6. The method of claim 2, wherein tracking the access behavior further comprises:

using data from at least one of a motion sensor or a proximity sensor to determine that the user device was held while the first video clip was presented.

7. The method of claim 2, further comprising:

determining that the access behavior is access behavior of a user and that the one or more favorite videos are favorite videos of the user; and

sending data associated with the one or more favorite videos to a server.

8. The method of claim 7, further comprising:

sending data associated with the one or more favorite videos to other users.

9. The method of claim 2, further comprising:

receiving, by the user device, information identifying additional access behavior of one or more additional video clips of at least one of the video or an additional video on an additional user device; and

identifying the one or more favorite videos based on the access behavior and the additional access behavior.

10. The method of claim 2, further comprising:

determining that the first video clip comprises at least one of a frame or a sequence of frames and that the location identifier comprises an address based on a byte offset from a beginning of the video.

11. The method of claim 2, wherein generating the first marker for the favorite video comprises generating a data structure that comprises contextual information about the favorite video.

12. An apparatus comprising:

a memory to store instructions for an access behavior tracking module; and

a processor, coupled to the memory, to execute the instructions for the access behavior tracking module, wherein the processor is to;

determine access behavior for a video clip of a video presented by the apparatus, wherein the video clip is associated with a location identifier identifying a location of the video clip in the video, and wherein to determine the access behavior for the video clip the processor is to;

determine an amount of time that the video clip is presented; and

determine a number of times that the video clip is presented;

determine that video clips from one or more videos of a plurality of videos fails to satisfy a filtering criterion;

remove the one or more videos from the plurality of videos to result in one or more remaining videos;

identify one or more favorite videos from the one or more remaining videos based at least in part on the access behavior; and

generate a first marker that is usable to navigate to a favorite video of the one or more favorite videos.

13. The apparatus of claim 12, wherein the processor is further to:

determine that the video clip is associated with a sequence of location identifiers, a first location identifier of the sequence of location identifiers identifying a location of a frame of the video in the video clip; and

navigate to the frame of the video clip associated with the first location identifier using the first marker.

14. The apparatus of claim 12, wherein the filtering criterion is a threshold, and wherein to identify the one or more favorite videos the processor is to:

generate a score for the first video clip based on at least one of the amount of time that the first video clip was presented or the number of times that the first video clip was presented, wherein removing the one or more videos comprises removing those videos comprising video clips having scores that fail to satisfy the threshold;

rank the remaining videos based on the scores of the video clips; and

identify highest ranked videos as the one or more favorite videos.

15. The apparatus of claim 12, wherein the processor is further to:

compute the threshold based on additional access behavior of the user over the plurality of videos.

16. The apparatus of claim 12, further comprising:

at least one of a motion sensor or a proximity sensor to generate sensor data;

wherein to determine the access behavior the processor is further to use the sensor data from at least one of the motion sensor or the proximity sensor to determine that the apparatus was held while the first clip was presented.

17. The apparatus of claim 12, wherein the processor is further to:

store the one or more favorite videos; and

report the one or more favorite videos to a server.

18. The apparatus of claim 12, wherein the processor is further to:

receive information identifying additional access behavior of one or more additional video clips of at least one of the video or an additional video on an additional apparatus; and

identify the one or more favorite videos based on the access behavior and the additional access behavior.

19. The apparatus of claim 12, wherein the processor is further to:

generate a data structure that comprises contextual information about the favorite video; and

present the contextual information in association with presentation of the marker.

20. A method comprising:

receiving, by a processor executing a content server, information identifying access behavior of a plurality of users for a plurality of video clips of a video, wherein a first video clip of the plurality of video clips comprises a sequence of frames, wherein a first frame of the sequence of frames comprises a location identifier identifying a location of the first frame in the video;

normalizing the information by the processor;

performing, by the processor, statistical analysis of the information to determine a favorite video clip of the video; and

providing, by the processor, a listing of the video to a user device, the listing comprising a display of the favorite video clip.

21. The method of claim 20, wherein the information identifies types of user devices from which the access behavior was received, the method further comprising:

identifying favorite video clips associated with each type of user device.