Methods and arrangements for cognitively processing image content. At least one image is accessed, wherein the at least one image comprises a compilation of objects. A plurality of verbal cues are received from a user relating to the at least one image, and the at least one received verbal cue is parsed. Using the parsed verbal cues, at least one object is identified in the compilation of objects, and at least one of the verbal cues related to the identified object is classified. A response to the user is generated, wherein the response comprises a natural language acknowledgement based on the classifying of the at least one verbal cue. Other variants and embodiments are broadly contemplated herein.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of cognitively processing image content, said method comprising: utilizing at least one processor to execute computer code that performs the steps of: accessing at least one image, wherein the at least one image comprises a compilation of objects; receiving a plurality of verbal cues from a user relating to the at least one image; parsing the plurality of received verbal cues; identifying, using the parsed verbal cues, at least one object in the compilation of objects; classifying at least one of the verbal cues related to the identified object; and generating a response to the user, wherein the response comprises a natural language acknowledgement based on the classifying of the at least one of the verbal cues. 2. The method according to claim 1, wherein said identifying comprises using a Semantic Entity-Relation Graph (SERG). 3. The method according to claim 1, wherein the classifying utilizes a corpus. 4. The method according to claim 1, wherein the generating a response comprises generating a Semantic Entity Relation Graph for at least one of the compilation of objects. 5. The method according to claim 4, wherein the generating further comprises modifying the Semantic Entity Relation Graph to generate a final Semantic Entity Relation Graph. 6. The method according to claim 4, wherein said generating a response comprises retrieval of a corresponding answer from said Semantic Entity Relation Graph. 7. The method according to claim 1, wherein the plurality of images is obtained from a video. 8. The method according to claim 1, wherein said classifying comprises using a classifier trained via a final Semantic Entity Related Graph and external ontology. 9. The method according to claim 1, wherein said parsing comprises using a semantic parser. 10. The method of claim 1, wherein the plurality of verbal cues relates to shopping for the at least one of the compilation of objects. 11. The method of claim 10, wherein the plurality of verbal cues relates to attributes of one the objects in said compilation of objects wherein the attributes are selected from the group consisting of colors, shapes, sizes, and brands. 12. The method according to claim 1, wherein said identifying the at least one of the objects comprises using spatial relation of the compilation of objects in the image. 13. The method according to claim 4, wherein said generating a response comprises utilizing a knowledge cartridge wherein the knowledge cartridge comprises a corpus, at least one Semantic Entity Relation Graph, and at least one website; and wherein the knowledge cartridge is updated via machine learning. 14. An apparatus for cognitively processing image content, said apparatus comprising: at least one processor; and a computer readable storage medium having computer readable program code embodied therewith and executable by the at least one processor, the computer readable program code comprising: computer readable program code configured to assess at least one image, wherein each trajectory comprises a compilation of objects; computer readable program code configured to receive a plurality of verbal cues from a user relating to the at least one image; computer readable program code configured to parse the plurality of received verbal cues; computer readable program code configured to identify, using the parsed verbal cues, at least one object in the compilation of objects; computer readable program code configured to classify at least one of the verbal cues related to the identified object; and computer readable program code configured to generate a response to the user, wherein the response comprises a natural language acknowledgement based on the classifying of the at least one of the verbal cues. 15. A computer program product for cognitively processing image content, said computer program product comprising: a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: a computer readable program code configured to assess at least one image, wherein each trajectory comprises a compilation of objects; computer readable program code configured to receive a plurality of verbal cues from a user relating to the at least one image; computer readable program code configured to parse the plurality of received verbal cues; computer readable program code configured to identify, using the parsed verbal cues, at least one object in the compilation of objects; computer readable program code configured to classify at least one of the verbal cues related to the identified object; and computer readable program code configured to generate a response to the user, wherein the response comprises a natural language acknowledgement based on the classifying of the at least one of the verbal cues. 16. The computer program product according to claim 15, wherein the identifying comprises using a Semantic Entity-Relation Graph. 17. The computer program product according to claim 15, wherein the classifying utilizes a corpus. 18. The computer program product according to claim 15, wherein the generating a response comprises generating a Semantic Entity-Relation Graph for at least one of the compilation of objects. 19. The computer program product according to claim 15, wherein the identifying the at least one of the objects comprises using spatial relation of the compilation of objects in the image. 20. A method comprising: accessing at least one image, wherein the at least one image comprises at least one purchasable object; receiving at least one verbal question from a user relating to the at least one image, wherein the at least one verbal question relates to shopping for the purchasable object; utilizing a Semantic Entity-Relation Graph on the image of the purchasable object and the at least one verbal question, wherein the Semantic-Entity-Relation graph parses the at least one verbal question and searches a corpus for at least one object similar to the purchasable object; and thereupon generating a natural language response to the verbal question regarding the purchasable object.