System and method for intelligently determining image capture times for image applications

A computer system for intelligently determining capture times of images for image applications, comprising:

• a computer processor configured to sequence or receive a first group of images with known image capture times in a chronological order based on image capture times,
• wherein the computer processor is configured to divide the first group of images in the chronological order into first subclusters based on similarities between images, wherein the images in at least one of the first subclusters have a first similarity value higher than a first threshold, wherein the first similarity value is based on one or more of dominant colors, color distributions, image capture locations, detected faces, recognized faces, the number of people, sizes and/or prominence of the faces, detected objects, recognized objects, or sizes and/or prominence of objects in the images, wherein each of the first subclusters comprises images from the first group having adjacent image capture times,
• wherein the computer processor is configured to divide a second group of images with unknown image capture times into second subclusters based on similarities between images,
• wherein the computer processor is configured to compute a second similarity value between a first subcluster of images with known image capture times and a second subcluster of images with unknown image capture times, and to assign an image capture time of the first subcluster of images to the second subcluster of images if the second similarity value between the first subcluster of images and the second subcluster of images is above a second threshold, thereby producing a unified image capture times for the first subcluster of images to the second subcluster of images based on known image capture times of first subclusters and image capture times assigned to the second subclusters.