TECHNIQUE FOR PROCESSING DATA IN A NETWORK
A technique for processing data in a network is disclosed. In one particular exemplary embodiment, the technique may be realized as a method for processing data in a network having a plurality of network stations. The method comprises receiving a first representation of data at a first of the plurality of network stations, processing the first representation so as to generate a second representation of the data, and transmitting the second representation from the first network station to a second of the plurality of network stations for storage therein, wherein the second representation is stored at an address within the second network station. The method also comprises receiving the address at the first network station, and transmitting the address from the first network station to a third of the plurality of network stations for storage therein.
1 . A method comprising:
identifying one or more annotations corresponding to at least one location within a media stream wherein each of the one or more annotations is associated with a measure of confidence in the accuracy of the annotation;
transmitting to a client device an icon associated with at least one of the identified annotations, retrieving data corresponding to at least one of the identified annotations; and
transmitting said data on the client device.
2 . The method of claim 1 , wherein the media stream comprises a plurality of scenes.
3 . The method of claim 2 , wherein each annotation corresponds to at least one of the plurality of scenes and at least one annotation comprises information about the at least one of the plurality of scenes.
4 . The method of claim 3 , wherein the information comprises words used in at least one of the plurality of scenes.
5 . The method of claim 3 , wherein the information comprises an identification of a person in at least one of the plurality of scenes.
6 . The method of claim 1 wherein the measure of confidence is a probability.
7 . The method of claim 1 wherein the data corresponding to at least one of the identified annotations comprises at least one of video, audio, and text.
8 . The method of claim 2 , wherein:
one or more of the identified annotations comprises information about one or more of the plurality of scenes, and
the data corresponding to the one or more identified annotation comprises one or more of the plurality of scenes.
9 . The method of claim 1 , wherein:
said data comprises at least one of an image and a video, and
at least one of the one or more annotations includes a URL that links to the at least one of an image and a video.
10 . The method of claim 1 , wherein one or more annotations includes at least one of a start time corresponding to a location in the media stream where the annotation begins and an end time corresponding to a location in the media stream where the annotation ends.
11 . The method of claim 1 , wherein the data corresponding to at least one of the identified annotations is presented to the client device in response to a query.
12 . A system comprising at least one processing device having software associated therewith that, when executed, causes the at least on processing device to perform a method comprising:
identifying one or more annotations corresponding to at least one location within a media stream wherein each of the one or more annotations is associated with a measure of confidence in the accuracy of the annotation;
transmitting to a client device an icon associated with at least one of the identified annotations,
retrieving data corresponding to at least one of the identified annotations; and
transmitting said data on the client device.
13 . The system of claim 12 , wherein the media stream comprises a plurality of scenes.
14 . The system of claim 13 , wherein each annotation corresponds to at least one of the plurality of scenes and at least one annotation comprises information about the at least one of the plurality of scenes.
15 . The system of claim 14 , wherein the information comprises words used in at least one of the plurality of scenes.
16 . The system of claim 3 , wherein the information comprises an identification of a person in at least one of the plurality of scenes.
17 . The system of claim 12 wherein the measure of confidence is a probability.
18 . The system of claim 12 wherein the data corresponding to at least one of the identified annotations comprises at least one of video, audio, and text.
19 . The system of claim 13 , wherein:
one or more of the identified annotations comprises information about one or more of the plurality of scenes, and
the data corresponding to the one or more identified annotation comprises one or more of the plurality of scenes.
20 . The system of claim 12 , wherein:
said data comprises at least one of an image and a video, and
at least one of the one or more annotations includes a URL that links to the at least one of an image and a video.
21 . The system of claim 12 , wherein one or more annotations includes at least one of a start time corresponding to a location in the media stream where the annotation begins and an end time corresponding to a location in the media stream where the annotation ends.
22 . The system of claim 12 , wherein the data corresponding to at least one of the identified annotations is presented to the client device in response to a query.