Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Double Patenting
The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969).
A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on nonstatutory double patenting provided the reference application or patent either is shown to be commonly owned with the examined application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. See MPEP § 717.02 for applications subject to examination under the first inventor to file provisions of the AIA as explained in MPEP § 2159. See MPEP § 2146 et seq. for applications not subject to examination under the first inventor to file provisions of the AIA . A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b).
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Claims 16-35 are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-20 of U.S. Patent No. 11,790,697. Although the claims at issue are not identical, they are not patentably distinct from each other because the present claims are obvious variants of the patent claims. The following table shows the corresponding limitations between the present claims and the patent claims.
Present Application Claims
Patent claims
16. (New) A method comprising: receiving, at a computer system from a user, a textbook in electronic form; processing, via at least one processor of the computer system, the textbook using at least one neural network, the at least one neural network comprising summarization capabilities, resulting in at least one summary; animating, via the at least one processor, an avatar within at least one slide using a narration of the textbook, resulting in at least one animated slide with an animated avatar, wherein the animated avatar explains the at least one slide using the narration, each slide in the at least one slide being based on the at least one summary; and generating, via the at least one processor, at least one video comprising the animated avatar.
17. (New) The method of claim 16, wherein the processing of the textbook using the at least one neural network further results in: a title for each slide in the plurality of slides.
18. (New) The method of claim 16, wherein the processing of the textbook using the at least one neural network further results in: a slide description for each slide in the plurality of slides.
19. (New) The method of claim 16, wherein the processing of the textbook using the at least one neural network further results in: keywords for each slide in the plurality of slides.
20. (New) The method of claim 19, further comprising: executing, via the at least one processor, an image search using the keywords.
21. (New) The method of claim 16, further comprising: estimating, via the at least one processor, a Flesch Kincaid grade level of the narration within the plurality of slides, resulting in a reading ease score; and modifying, prior to the animating and via the at least one processor based on the reading ease score, the narration, resulting in a modified narration, wherein the animating of the avatar uses the modified narration.
22. (New) The method of claim 16, further comprising: adding, prior to the processing of the textbook and via the at least one processor, at least one of jokes, riddles, and stories to the textbook.
23. (New) A system comprising: at least one processor; and a non-transitory computer-readable storage medium having instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: receiving, from a user, a textbook in electronic form; processing the textbook using at least one neural network, the at least one neural network comprising summarization capabilities, resulting in at least one summary; animating an avatar within at least one slide using a narration of the textbook, resulting in at least one animated slide with an animated avatar, wherein the animated avatar explains the at least one slide using the narration, each slide in the at least one slide being based on the at least one summary; and generating at least one video comprising the animated avatar.
24. (New) The system of claim 23, wherein the processing of the textbook using the at least one neural network further results in: a title for each slide in the plurality of slides.
25. (New) The system of claim 23, wherein the processing of the textbook using the at least one neural network further results in: a slide description for each slide in the plurality of slides.
26. (New) The system of claim 23, wherein the processing of the textbook using the at least one neural network further results in: keywords for each slide in the plurality of slides.
27. (New) The system of claim 26, the non-transitory computer-readable storage medium having additional instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: executing an image search using the keywords.
28. (New) The system of claim 23, the non-transitory computer-readable storage medium having additional instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: estimating a Flesch Kincaid grade level of the narration within the plurality of slides, resulting in a reading ease score; and modifying, prior to the animating based on the reading ease score, the narration, resulting in a modified narration, wherein the animating of the avatar uses the modified narration.
29. (New) The system of claim 23, the non-transitory computer-readable storage medium having additional instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: adding, prior to the processing of the textbook, at least one of jokes, riddles, and stories to the textbook.
30. (New) A non-transitory computer-readable storage medium having instructions stored which, when executed by at least one processor, cause the at least one processor to perform operations comprising: receiving, from a user, a textbook in electronic form; processing the textbook using at least one neural network, the at least one neural network comprising summarization capabilities, resulting in at least one summary; animating an avatar within at least one slide using a narration of the textbook, resulting in at least one animated slide with an animated avatar, wherein the animated avatar explains the at least one slide using the narration, each slide in the at least one slide being based on the at least one summary; and generating at least one video comprising the animated avatar.
31. (New) The non-transitory computer-readable storage medium of claim 30, wherein the processing of the textbook using the at least one neural network further results in: a title for each slide in the plurality of slides.
32. (New) The non-transitory computer-readable storage medium of claim 30, wherein the processing of the textbook using the at least one neural network further results in: a slide description for each slide in the plurality of slides.
33. (New) The non-transitory computer-readable storage medium of claim 30, wherein the processing of the textbook using the at least one neural network further results in: keywords for each slide in the plurality of slides.
34. (New) The non-transitory computer-readable storage medium of claim 33, the non- transitory computer-readable storage medium having additional instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: executing an image search using the keywords.
35. (New) The non-transitory computer-readable storage medium of claim 30, the non- transitory computer-readable storage medium having additional instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: estimating a Flesch Kincaid grade level of the narration within the plurality of slides, resulting in a reading ease score; and modifying, prior to the animating based on the reading ease score, the narration, resulting in a modified narration, wherein the animating of the avatar uses the modified narration.
1. A method comprising: receiving, at a computer system from a user, a textbook in electronic form; processing, via at least one processor of the computer system, the textbook using at least one neural network, the at least one neural network comprising summarization capabilities and sentiment analysis capabilities, resulting in a sentiment analysis and at least one summary; animating, via the at least one processor, an avatar within at least one slide using the sentiment analysis and a narration of the textbook, resulting in at least one animated slide with an animated avatar, wherein the animated avatar explains the at least one slide using the narration, each slide in the at least one slide being based on the at least one summary; and generating, via the at least one processor, at least one video comprising the animated avatar.
2. The method of claim 1, wherein the processing of the textbook using the at least one neural network further results in: a title for each slide in the at least one slide.
3. The method of claim 1, wherein the processing of the textbook using the at least one neural network further results in: a slide description for each slide in the at least one slide.
4. The method of claim 1, wherein the processing of the textbook using the at least one neural network further results in: keywords for each slide in the at least one slide.
5. The method of claim 4, further comprising: executing, via the at least one processor, an image search using the keywords.
6. The method of claim 1, further comprising: estimating, via the at least one processor, a Flesch Kincaid grade level of the narration within the at least one slide, resulting in a reading ease score; and modifying, prior to the animating and via the at least one processor based on the reading ease score, the narration, resulting in a modified narration, wherein the animating of the avatar uses the modified narration.
7. The method of claim 1, further comprising: adding, prior to the processing of the textbook and via the at least one processor, at least one of jokes, riddles, and stories to the textbook.
8. A system comprising: at least one processor; and a non-transitory computer-readable storage medium having instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: receiving, from a user, a textbook in electronic form; processing the textbook using at least one neural network, the at least one neural network comprising summarization capabilities and sentiment analysis capabilities, resulting in a sentiment analysis and at least one summary; animating an avatar within at least one slide using the sentiment analysis and a narration of the textbook, resulting in at least one animated slide with an animated avatar, wherein the animated avatar explains the at least one slide using the narration, each slide in the at least one slide being based on the at least one summary; and generating at least one video comprising the animated avatar.
9. The system of claim 8, wherein the processing of the textbook using the at least one neural network further results in: a title for each slide in the at least one slide.
10. The system of claim 8, wherein the processing of the textbook using the at least one neural network further results in: a slide description for each slide in the at least one slide.
11. The system of claim 8, wherein the processing of the textbook using the at least one neural network further results in: keywords for each slide in the at least one slide.
12. The system of claim 11, the non-transitory computer-readable storage medium having additional instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: executing an image search using the keywords.
13. The system of claim 8, the non-transitory computer-readable storage medium having additional instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: estimating a Flesch Kincaid grade level of the narration within the at least one slide, resulting in a reading ease score; and modifying, prior to the animating based on the reading ease score, the narration, resulting in a modified narration, wherein the animating of the avatar uses the modified narration.
14. The system of claim 8, the non-transitory computer-readable storage medium having additional instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: adding, prior to the processing of the textbook, at least one of jokes, riddles, and stories to the textbook.
15. A non-transitory computer-readable storage medium having instructions stored which, when executed by at least one processor, cause the at least one processor to perform operations comprising: receiving, from a user, a textbook in electronic form; processing the textbook using at least one neural network, the at least one neural network comprising summarization capabilities and sentiment analysis capabilities, resulting in a sentiment analysis and at least one summary; animating an avatar within at least one slide using the sentiment analysis and a narration of the textbook, resulting in at least one animated slide with an animated avatar, wherein the animated avatar explains the at least one slide using the narration, each slide in the at least one slide being based on the at least one summary; and generating at least one video comprising the animated avatar.
16. The non-transitory computer-readable storage medium of claim 15, wherein the processing of the textbook using the at least one neural network further results in: a title for each slide in the at least one slide.
17. The non-transitory computer-readable storage medium of claim 15, wherein the processing of the textbook using the at least one neural network further results in: a slide description for each slide in the at least one slide.
18. The non-transitory computer-readable storage medium of claim 15, wherein the processing of the textbook using the at least one neural network further results in: keywords for each slide in the at least one slide.
19. The non-transitory computer-readable storage medium of claim 18, the non-transitory computer-readable storage medium having additional instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: executing an image search using the keywords.
20. The non-transitory computer-readable storage medium of claim 15, the non-transitory computer-readable storage medium having additional instructions stored which, when executed by the at least one processor, cause the at least one processor to perform operations comprising: estimating a Flesch Kincaid grade level of the narration within the at least one slide, resulting in a reading ease score; and modifying, prior to the animating based on the reading ease score, the narration, resulting in a modified narration, wherein the animating of the avatar uses the modified narration.
Conclusion
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/PHUOC TRAN/Primary Examiner, Art Unit 2668
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