Content processing workflow that alters objectionable content segments to enhance customer viewing experience
Abstract
Aspects of the subject disclosure may include, for example, obtaining media content, providing it as input to a neural network adapted to categorize scenes according to predetermined categories, and generating metadata according to the categorization. An objectionable scene is identified based on a user preference and according to a characterization. An altered scene based on a content of the objectionable scene may be obtained responsive to the identifying of the objectionable scene. The altered scene provides a suitable scene in place of the objectional scene that preserves information of the content to obtain preserved information. Replacement of the objectionable scene with the altered scene may be facilitated to obtain adapted media content, wherein presentation of the adapted media content via equipment avoids presentation of the objectionable scene, while maintaining a continuity of the original media content via the preserved information. Other embodiments are disclosed.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A device, comprising:
a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
obtaining metadata that provides a characterization of a plurality of scenes of original media content;
identifying, according to the metadata, a first objectionable scene of the plurality of scenes that portrays an individual engaged in an objectionable activity and a non-objectionable activity; and
generating, responsive to the identifying the first objectionable scene, an altered scene, wherein the altered scene is based on a first content of the first objectionable scene and provides a replacement scene in place of the first objectionable scene, wherein the replacement scene comprises an avatar performing, in place of the individual, the non-objectionable activity, without performing the objectionable activity to preserve information of the first content of the first objectionable scene to obtain preserved information that promotes continuity during a presentation of the original media content.
2 . The device of claim 1 , wherein the operations further comprise receiving a user identification of objectionable content, the first objectionable scene comprising the objectionable content.
3 . The device of claim 2 , wherein the user identification of the objectional content is received responsive to a presentation of a plurality of predetermined categories via equipment of the user.
4 . The device of claim 1 , wherein the generating of the altered scene comprises generating the avatar for presentation within the altered scene.
5 . The device of claim 4 , wherein the avatar is generated in real time and provides an apt presentation of the information of the first content of the first objectionable scene.
6 . The device of claim 5 , wherein the non-objectionable activity comprises one of dialogue, or action or both.
7 . The device of claim 1 , wherein the operations further comprise replacing the first objectionable scene with the altered scene to obtain the replacement scene, the replacing accomplished before a forwarding of adapted media content comprising the replacement scene to equipment of a user for presentation thereon.
8 . The device of claim 7 , wherein the replacing the first objectionable scene with the altered scene further comprises insertion of an advertisement.
9 . The device of claim 8 , wherein the advertisement comprises one of an overlay, a banner, a caption, a product placement, or any combination thereof.
10 . The device of claim 1 , further comprising:
receiving feedback responsive to a presentation of an adaptation of the original media content comprising the replacement scene; and retraining a neural network according to the feedback to obtain a retrained neural network, the metadata obtained according to an application of the neural network.
11 . A method, comprising:
obtaining, by a processing system including a processor, metadata that identifies a characterization of a plurality of scenes of original media content; identifying, by the processing system and from the metadata, a first objectionable scene of the plurality of scenes portraying an individual engaged in an objectionable activity and a non-objectionable activity; and obtaining, by the processing system and responsive to the identifying the first objectionable scene, a replacement scene, wherein the replacement scene is based on a first content of the first objectionable scene and provides a first suitable scene in place of the first objectionable scene, wherein the first suitable scene comprises an avatar performing, in place of the individual, the non-objectionable activity, without performing the objectionable activity to preserve information of the first content of the first objectionable scene to obtain preserved information that promotes continuity during a presentation of adapted media content comprising the replacement scene.
12 . The method of claim 11 , wherein the obtaining of the replacement scene comprises generating the avatar for presentation within the replacement scene.
13 . The method of claim 12 , wherein the avatar provides a suitable presentation of the information of the first content.
14 . The method of claim 11 , further comprising replacing, by the processing system, the first objectionable scene with the first suitable scene, the replacing accomplished before a forwarding of the adapted media content to equipment of a user for presentation thereon.
15 . The method of claim 11 , further comprising identifying, by the processing system, a user identification of an objectionable category, wherein the first objectionable scene is characterized according to the objectionable category, and the user identification obtained responsive to a presentation of a plurality of predetermined categories via equipment of the user.
16 . A non-transitory, machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:
obtaining metadata that provides a characterization of a plurality of scenes of original media content; identifying from the metadata a first objectionable scene of the plurality of scenes portraying an individual engaged in an objectionable activity and a non-objectionable activity; and obtaining, responsive to the identifying the first objectionable scene, an altered scene, wherein the altered scene is based on a first content of the first objectionable scene and provides a replacement scene in place of the first objectionable scene, wherein the replacement scene comprises an avatar performing, in place of the individual, the non-objectionable activity, without performing the objectionable activity to preserve information that promotes continuity during a presentation of the original media content.
17 . The non-transitory, machine-readable medium of claim 16 , wherein the obtaining of the altered scene comprises obtaining the avatar for presentation within the altered scene.
18 . The non-transitory, machine-readable medium of claim 17 , wherein the avatar provides a suitable presentation of the information of the first content.
19 . The non-transitory, machine-readable medium of claim 18 , wherein the operations further comprising replacing the first objectionable scene with the altered scene, the replacing accomplished before a forwarding of an adaptation of the original media content comprising the replacement scene.
20 . The non-transitory, machine-readable medium of claim 16 , wherein the operations further comprise identifying a user selection of an objectionable category comprising the objectionable activity, the user selection obtained responsive to a presentation of a plurality of predetermined categories.Cited by (0)
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