Citations
Referenced by
Claims1. An image classification device, comprising:
2. The device of claim 1, wherein the second image is adjacent to the first image in a sequence of images. 3. The device of claim 2, wherein the sequence of images is arranged in an original sequence in which the images were generated. 4. The device of claim 2, wherein the sequence of images is a series of digital photographs. 5. The device of claim 1, wherein:
6. The device of claim 5, further comprising a classifying circuit, wherein:
7. The device of claim 5, wherein the image sequence is arranged in an original sequence in which the images were generated. 8. The device of claim 5, wherein the image sequence is a series of digital photographs. 9. The device of claim 5, wherein:
10. The device of claim 9, wherein at least one of the at least one related image is an alternative version of the first image. 11. The device of claim 10, wherein at least one of the at least one alternative version is a touched-up version of the first image. 12. The device of claim 11, wherein the at least one touched-up version is created manually by a user. 13. The device of claim 11, wherein the at least one touched-up version is created by automatically applying at least one image enhancement to the first image. 14. The device of claim 5, wherein the interface generating circuit further displays a classification of at least one image in the image sequence. 15. The device of claim 14, wherein different classifications are associated with different visual indications. 16. The device of claim 15, wherein the different visual indications include different colors. 17. The device of claim 14, wherein the classification indicates at least one of an accepted image and a reject image, wherein an accepted image is displayed with original quality, and a reject image is displayed with reduced quality. 18. The device of claim 5, wherein the user interface event interpreting circuit identifies a second image in the sequence of images, and the interface generating circuit displays a second enlarged image concurrently with displaying the enlarged image, the second enlarged image corresponding to the second image in the sequence of images. 19. The device of claim 1, wherein:
20. The device of claim 19, wherein the image sequence is arranged in an original sequence in which the image sequence is generated. 21. The device of claim 19 wherein the image sequence is a series of digital photographs. 22. The device of claim 19, wherein different classifications are associated with different visual indications. 23. The device of claim 19, wherein the different visual indications include different colors. 24. The device of claim 19, wherein the classification indicates at least one of an accepted image and a reject image, wherein an accepted image is displayed with original quality, and a reject image is displayed with reduced quality. 25. The device of claim 19, wherein the retrieving circuit retrieves at least one related image that is related to the first image in the sequence of images, and the interface generating circuit displays the at least one related image. 26. The device of claim 25, wherein at least one of the at least one related image is an alternative version of the first image in the sequence of images. 27. The device of claim 26, wherein at least one of the at least one alternative version is a touched-up version of the first image in the sequence of images. 28. The device of claim 27, wherein at least one of the at least one touched-up version is created manually by a user. 29. The device of claim 27, wherein at least one of the at least one touched-up version is created by automatically applying at least one image enhancement to the first image. 30. The device of claim 25, wherein at least one of the at least one related image is an image that is similar to the first image in the sequence of images. 31. The device of claim 30, wherein at least one of the at least one similar image is automatically determined. 32. The device of claim 1, wherein:
33. The device of claim 32, wherein:
34. The device of claim 32, wherein the at least one related image is an alternative version of the selected image. 35. The device of claim 34, wherein the alternative version is a touched-up version of the selected image. 36. The device of claim 35, wherein the touched-up version is created manually by a user. 37. The device of claim 36, wherein the touched-up version is created by automatically applying at least one of image enhancement to the selected image. 38. The device of claim 32, wherein the at least one related image is an image that is similar to the selected image. 39. The device of claim 38, wherein the similar image is automatically determined. 40. A method for classifying images, comprising:
41. The method of claim 40, wherein the second image is adjacent to the first image in a sequence of images. 42. The method of claim 41, wherein the sequence of images is arranged in an original sequence in which the images were generated. 43. The method of claim 41, wherein the sequence of images is a series of digital photographs. 44. A method of claim 40, further comprising:
45. The method of claim 44, wherein classifying the selected image comprises:
46. The method of claim 44, further comprising selecting the selected image of the image sequence. 47. The method of claim 44, wherein the image sequence is arranged in an original sequence in which the images were generated. 48. The method of claim 44, wherein the image sequence is a series of digital photographs. 49. The method of claim 44, further comprising:
50. The method of claim 49, wherein the related image is an alternative version of the selected image. 51. The method of claim 50, wherein the alternative version is a touched-up version of the selected image. 52. The method of claim 51, wherein the touched-up version is created manually by the user. 53. The method of claim 51, wherein the touched-up version is created by automatically applying at least one image enhancement to the selected image. 54. The method of claim 44, further comprising displaying a classification of at least one image in the image sequence. 55. The method of claim 54, wherein different classifications are associated with different visual indications. 56. The method of claim 55, wherein the different visual indications include different colors. 57. The method of claim 54, wherein the classification indicates at least one of an accepted image and a reject image, wherein an accepted image is displayed with original quality, and a reject image is displayed with reduced quality. 58. The method of claim 44, further comprising:
59. The method of claim 40, further comprising:
60. The method of claim 59, wherein:
61. The method of claim 59, wherein the image sequence is arranged in an original sequence in which the image sequence is generated. 62. The method of claim 59, wherein the image sequence is a series of digital photographs. 63. The method of claim 59, wherein different classifications are associated with different visual indications. 64. The method of claim 63, wherein the different visual indications include different colors. 65. The method of claim 59, wherein the classification indicates at least one of an accepted image and a reject image, wherein an accepted image is displayed with original quality, and a reject image is displayed with reduced quality. 66. The method of claim 59, further comprising:
67. The method of claim 66, wherein at least one of the at least one related image is an alternative version of the first selected image. 68. The method of claim 67, wherein at least one of the at least one alternative version is a touched-up version of the first selected image. 69. The method of claim 68, wherein the touched-up version is created manually by a user. 70. The method of claim 68, wherein the touched-up version is created by automatically applying at least one image enhancement to the first selected image. 71. The method of claim 66, wherein at least one of the at least one related image is an image that is similar to the first selected image. 72. The method of claim 71, wherein at least one of the at least one similar image is automatically determined. 73. The method of claim 40, further comprising:
74. The method of claim 73, wherein classifying the selected image comprises:
75. The method of claim 73, wherein the at least one related image is an alternative version of the selected image. 76. The method of claim 75, wherein the alternative version is a touched-up version of the selected image. 77. The method of claim 76, wherein the touched-up version is created manually by a user. 78. The method of claim 76, wherein the touched-up version is created by automatically applying at least one image enhancement to the selected image. 79. The method of claim 73, wherein the at least one related image is an image that is similar to the selected image. 80. The method of claim 79, wherein the similar image is automatically determined. 81. A method for classifying images of an image sequence, the method comprising:
82. The method of claim 81, further comprising displaying zero or more alternative versions of the selected image, concurrently with the displaying an enlarged view of a selected image. 83. The method of claim 82,
84. The method of claim 81 further comprising:
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