Video-related meta data engine system and method
Abstract
A engine for use with a display is disclosed. The engine includes a presenter that presents at least two audio/visual works, at least one software application capable of at least one metadata-related interaction with the at least two audio/visual works, communication points over which the audio/visual works are received, and over which at least a portion of the at least one metadata-related interaction occurs, and a hierarchical taxonomy that effects a common metadata reference to each recurrence of a particular object across the audio/visual works, and across each of the at least one metadata related interaction.
Claims
exact text as granted — not AI-modified1 . A engine for use with a display, comprising:
a presenter that presents at least two audio/visual works; at least one software application capable of at least one metadata-related interaction with the at least two audio/visual works, said metadata-related interaction including providing for a click on an object in the audio/visual work to display more information, including at least a price, regarding said object; at least two communication points over which the audio/visual works are received, and over which at least a portion of the at least one metadata-related interaction occurs; and, a hierarchical taxonomy that effects a common metadata reference to each recurrence of a particular object across the audio/visual works, and across each of the at least one metadata related interaction.
2 . The video engine of claim 1 , wherein at least one of the at least one software applications is at least partially remote from the presenter.
3 . The video engine of claim 1 , wherein the at least one metadata-related interaction comprises interaction with remotely generated metadata associated with the audio/visual work.
4 . The video engine of claim 1 , wherein the at least one metadata-related interaction comprises interaction with locally generated metadata for association with the audio/visual work.
5 . The video engine of claim 1 , wherein the communication points are at least two selected from the group consisting of satellite communication, radio communication, wired communication, infrared communication, coaxial cable communication, WIFI communication, WiMAX communication, LAN communication, WAN communication, telephonic communication, DSL communication, and Ethernet communication.
6 . The video engine of claim 1 , wherein the hierarchical taxonomy comprises at least three categories of breadth and at least three levels of depth for the common metadata references.
7 . The video engine of claim 1 , wherein the hierarchical taxonomy comprises at least categorical pricing.
8 . The video engine of claim 1 , wherein at least a portion of the common metadata references are automatically associated with the objects of the audio/visual works.
9 . The video engine of claim 8 , wherein the automatic association occurs remotely from the presenter.
10 . The video engine of claim 8 , wherein the automatic association occurs locally to the presenter.
11 . The video engine of claim 8 , wherein the automatic association occurs via object recognition software.
12 . The video engine of claim 11 , wherein the object recognition software is employed as part of a crawler that reviews the audio/visual works.
13 . The video engine of claim 1 , wherein at least a portion of the common metadata references are manually associated with the objects of the audio/visual works.
14 . The video engine of claim 13 , wherein the manual association occurs remotely from the presenter.
15 . The video engine of claim 13 , wherein the manual association occurs locally to the presenter.
16 . The video engine of claim 1 , further comprising a prioritization filter.
17 . The video engine of claim 16 , wherein the prioritization filter prioritizes the order of making of the common metadata references.
18 . The video engine of claim 16 , wherein the prioritization filter prioritizes the level of the hierarchical taxonomy at which the common metadata references are reviewed for a particular one of the metadata-related interactions.
19 . The video engine of claim 16 , wherein the prioritization filter prioritizes the communication point over which review is to be made for particular ones of the common metadata references.
20 . The video engine of claim 16 , wherein the prioritization filter makes use of empirical data external to the audio/visual works to prioritize application of the common metadata references.
21 . A engine for use with a display, comprising:
a presenter that presents at least two audio/visual works; at least one software application capable of at least one metadata-related interaction with the at least audio/visual works; and, communication points over which the audio/visual works are received, and over which at least a portion of the at least one metadata-related interaction occurs, wherein the at least one metadata-related interaction matches discrete occurrences in said audio/visual works with specific products, and wherein said metadata-related interaction includes clicking on an object to display more information regarding said object
22 . The engine of claim 21 , wherein said matching includes a link to a merchant of said specific products.
23 . The engine of claim 21 , wherein said metadata includes pricing of items in said works.
24 . The engine of claim 21 , wherein the specific products are fashion-related products.
25 . The engine of claim 21 , wherein the specific products are home design products.
26 . The engine of claim 21 , wherein the specific products are electronics products.
27 . The engine of claim 21 , wherein the specific products are travel products.
28 . The engine of claim 21 , wherein the specific products are sporting products.
29 . The engine of claim 21 , wherein said specific products are exact matches to the discrete occurrences in said works.
30 . The engine of claim 21 , wherein said specific products are similar looking to the discrete occurrences in said works.
31 . The engine of claim 21 , wherein said specific products are of similar quality and style to the discrete occurrences in said works.
32 . The engine of claim 21 , wherein said specific products are related to said discrete occurrences in said works.
33 . The engine of claim 32 , wherein said relation is based on database information.
34 . The engine of claim 32 , wherein said relation is based on survey information.Join the waitlist — get patent alerts
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