Method for producing a blended video sequence
A method for producing a blended video sequence that combines a still image and a video image sequence comprising: designating a first face in the still image, designating a second face in the video image sequence; detecting a series of video frames in the video image sequence containing the second face; identifying a video frame in the detected series of video frames suitable for transitioning from the first face into the second face; using a data processor to automatically produce a transition image sequence where the first face transitions into the second face, and a first background transitions into a second background; and producing the blended video sequence by concatenating the transition image sequence, and a plurality of video frames from the video image sequence starting from the identified video frame.
1. A method for producing a blended video sequence that combines a still image and a video image sequence including a plurality of video frames, comprising:
designating a first face in the still image;
designating a second face in the video image sequence;
using a data processor to automatically detect a series of video frames containing the designated second face;
using a data processor to automatically identify a video frame that is suitable for transitioning from the first face into the second face;
using a data processor to automatically produce a transition image sequence in two stages, wherein the first stage involves a rigid transformation of the still image and the second stage involves a non-rigid transformation of the first and second faces;
producing the blended video sequence by concatenating a plurality of video frames formed from the still image, the transition image sequence, and a plurality of video frames from the video image sequence; and
storing the blended video sequence in a processor accessible memory.
2. The method of claim 1 , wherein the suitability of a video frame for transitioning from the first face into the second face is based upon one or more criterion selected from the group consisting of face size criterion, face position criterion, face pose similarity criterion, facial image quality criterion, facial expression criterion, and facial motion criterion.
3. The method of claim 1 , wherein the rigid transformation of the still image involves computing a best affine transform between a first set of points on the first face and a second set of points on the second face using Random Sample Consensus (RANSAC) based estimation.
4. The method of claim 1 , wherein the non-rigid transformation of the first and second faces is computed by regularized thin-plate spline (TPS) transformation.
5. The method of claim 1 , wherein the rigid transformation comprises computing a best affine transformation, and wherein the image transition sequence is generated by transforming the first face using the affine transformation and the non-rigid transformation.
6. The method of claim 5 , wherein the best affine transformation is computed between a first set of points on the first face and a second set of points on the second face, and wherein the affine transformation is computed using RANSAC based estimation of the image transformation.
7. The method of claim 1 further comprising the following steps:
designating a first background region corresponding to a portion of the still image excluding the first face;
after identifying the video frame, designating a second background region corresponding to a portion of the identified video excluding the second face;
wherein the step of using a data processor to automatically produce a transition image sequence further comprises transitioning the first background into the second background.
8. The method of claim 1 , wherein at least one of the first face or the second face is automatically designated using a face detection algorithm.
9. The method of claim 1 , wherein at least one of the first face or the second face is manually user designated using a user interface.
10. The method of claim 1 , wherein the step of using a data processor to automatically detect a series of video frames containing the designated second face comprises locating the second face in one video frame of the video image sequence and using a face tracking algorithm to track the second face in the video image sequence.
11. A method for producing a blended video sequence that combines a still image and a video image sequence including a plurality of video frames, comprising:
designating a first face in the still image, wherein the first face, wherein the first face is a type selected from the group consisting of human face, representation of a human face, and animal face;
designating a second face in the video image sequence, wherein the second face is a type selected from the group consisting of human face, representation of a human face, and animal face;
using a data processor to automatically detect a series of video frames containing the designated second face;
using a data processor to automatically identify a video frame that is suitable for transitioning from the first face into the second face;
using a data processor to automatically produce a transition image sequence where the first face transitions into the second face;
producing the blended video sequence by concatenating a plurality of video frames formed from the still image, the transition image sequence, and a plurality of video frames from the video image sequence; and
storing the blended video sequence in a processor accessible memory.
12. The method of claim 11 , wherein human faces are automatically designated using a face detection algorithm and representations of human faces are automatically designated using an object detection method.