SYSTEM AND METHOD FOR IDENTIFYING TARGET AREAS IN A REAL-TIME VIDEO STREAM
Various aspects of a system and a method for identifying one or more target areas on an object in a real-time video stream may comprise a server. The server identifies one or more target areas on an object in a real-time video stream based on one or more pre-defined machine recognizable identifiers associated with the object. The server dynamically replaces, in real-time, a first content of the identified one or more target areas with a second content specified by the server.
1 . A system comprising:
one or more processors in a server operable to:
identify one or more target areas on an object in a real-time video stream based on one or more pre-defined machine recognizable identifiers associated with said object; and
replace, in real-time, a first content of said identified one or more target areas with a second content.
2 . The system of claim 1 , wherein said one or more processors are operable to process said real-time video stream to identify said one or more machine recognizable identifiers.
3 . The system of claim 1 , wherein said one or more processors are operable to broadcast said real-time video stream with said first content being replaced by said second content.
4 . The system of claim 1 , wherein said one or more processors are operable to:
determine a shape and/or an orientation of said one or more target areas; and
modify said second content based on said determined shape and/or said determined orientation.
5 . The system of claim 1 , wherein said one or more processors are operable to select said second content based on one or more parameters associated with said real-time video stream.
6 . The system of claim 5 , wherein said one or more parameters comprise geographic location at which said real-time video stream is to be broadcast or language used by one or more users viewing said real-time video stream.
7 . The system of claim 1 , wherein said one or more processors are operable to:
determine an obscured portion and a visible portion of said first content of said identified one or more target areas;
modify said second content based on said obscured portion and said visible portion; and
replace, in real-time, said first content of said visible portion with said modified second content.
8 . The system of claim 7 , wherein said one or more processors are operable to crop a portion of said second content corresponding to said obscured portion.
9 . The system of claim 1 , wherein said one or more machine recognizable identifiers comprise one or more of: a Quick Response (QR) code, a bar code, a pre-defined color, a pre-defined shape, and/or a pre-defined pattern.
10 . A method comprising:
in a server:
identifying one or more target areas on an object in a real-time video stream based on one or more pre-defined machine recognizable identifiers associated with said object; and
replacing, in real-time, a first content of said identified one or more target areas with a second content.
11 . The method of claim 10 , further comprising:
processing said real-time video stream; and
recognizing said one or more machine recognizable identifiers based on said processing.
12 . The method of claim 10 , further comprising broadcasting said real-time video stream with said first content being replaced by said second content.
13 . The method of claim 10 , further comprising:
determining a shape and/or an orientation of said one or more target areas; and
modifying said second content based on said determined shape and/or said determined orientation.
14 . The method of claim 10 , further comprising selecting said second content based on one or more parameters associated with said real-time video stream.
15 . The method of claim 14 , wherein said one or more parameters comprise a geographic location at which said real-time video stream is to be broadcast or language used by one or more users viewing said real-time video stream.
16 . A system comprising:
one or more processors in a user device operable to:
receive a real-time video stream from a server; and
identify one or more target areas on an object in said real-time video stream based on one or more pre-defined machine recognizable identifiers associated with said object.
17 . The system of claim 16 , wherein said one or more processors are operable to process said real-time video stream to identify said one or more machine recognizable identifiers.
18 . The system of claim 16 , wherein said one or more processors are operable to dynamically replace, in real-time, a first content of said identified one or more target areas with a second content specified by said server.
19 . The system of claim 18 , wherein said one or more processors are operable to display said real-time video stream with said first content being replaced by said second content.
20 . The system of claim 18 , wherein said one or more processors are operable to:
determine a shape and/or an orientation of said one or more target areas; and
modify said second content based on said determined shape and/or said determined orientation.
21 . The system of claim 18 , wherein said one or more processors are operable to:
determine an obscured portion and a visible portion of said identified one or more target areas;
modify said second content based on said obscured portion and said visible portion; and
replace, in real-time, said first content of said visible portion with said modified second content.
22 . The system of claim 21 , wherein said one or more processors are operable to crop a portion of said second content corresponding to said obscured portion.