Information processing apparatus

A learning method comprising the steps of:

• detecting camera motion estimation information from a desired image signal picked up by a video camera;
• and
• generating a conversion coefficient for generating camera motion prediction information for learning expressing motion of the video camera which picked up an arbitrary image signal, from the arbitrary image signal, based on (a) sensor signal expressing physical motion of the video camera, which is obtained by a sensor for detecting physical motion, at the same time when the desired image signal was picked up, and (b) the camera motion estimation information;
• wherein the desired image signal is a signal obtained for learning processing that is performed automatically by a learning section.

A non-transitory computer recording medium encoded with a computer program for letting a computer execute learning processing, the program comprising the steps of:

• detecting camera motion estimation information from a desired image signal picked up by a video camera;
• and
• generating a conversion coefficient for generating camera motion prediction information for learning expressing motion of the video camera which picked up an arbitrary image signal, from the arbitrary image signal, based on (a) sensor signal expressing physical motion of the video camera, which is obtained by a sensor for detecting physical motion, at the same time when the desired image signal was picked up, and (b) the camera motion estimation information;
• wherein the desired image signal is a signal obtained for learning processing that is performed automatically by a learning section.

An apparatus comprising:

• memory means for storing relationship information generated by learning based on camera motion estimation information for learning expressing motion of a video camera, which is detected by a desired image signal picked up by the video camera, and camera motion information for learning expressing physical motion of the video camera, which was obtained by a sensor for detecting physical motion at the same time when the desired image signal was picked up by the video camera;
• camera motion estimation information detection means for detecting camera motion estimation information with respect to an inputted image signal, from the inputted image signal;
• and
• camera motion prediction information generation means for generating camera motion prediction information with respect to the inputted image signal, based on the camera motion estimation information of the inputted image signal detected by the camera motion estimation information detection means and the relationship information, wherein a motion signal causes a user to experience a live feeling as if said user were riding in an image picked up by said video camera;
• wherein the camera motion estimation information for learning is generated based on (a) one or more motion vectors in the desired image signal and (b) the camera motion estimation information of the inputted image signal is generated based on a motion vector in the input image signal.

A learning apparatus comprising:

• camera motion estimation information detection means for detecting camera motion estimation information from a desired image signal picked up by a video camera;
• and
• coefficient generation means for generating a conversion coefficient for generating camera motion prediction information expressing motion of the video camera which picked up an arbitrary image signal, from the arbitrary image signal, based on (a) sensor signal expressing physical motion of the video camera, which is obtained by a sensor for detecting physical motion, at the same time when the desired image signal was picked up, and (b) the camera motion estimation information, wherein a motion signal causes a user to experience a live feeling as if said user were riding in an image picked up by said video camera;
• wherein the camera motion estimation information for learning is generated based on (1) one or more motion vectors in the desired image signal and (2) the camera motion estimation information of an inputted image signal is generated based on a motion vector in the input image signal.

An information processing method comprising the steps of;

• generating relationship information generated by learning based on (a) camera motion estimation information expressing motion of a video camera, which is detected by a desired image signal picked up by the video camera, and (b) camera motion information expressing physical motion of the video camera, which was obtained by a sensor for detecting physical motion at the same time when the desired image signal was picked up by the video camera;
• detecting camera motion estimation information with respect to an inputted image signal, from the inputted image signal;
• and
• generating camera motion prediction information with respect to the inputted image signal, based on (1) the camera motion estimation information detected and (2) the relationship information, wherein a motion signal causes a user to experience a live feeling as if said user were riding in an image picked up by said video camera;
• wherein the camera motion estimation information for learning is generated based on (i) one or more motion vectors in the desired image signal and (ii) the camera motion estimation information of the inputted image signal is generated based on a motion vector in the input image signal.

A learning method comprising the steps of:

• detecting camera motion estimation information from a desired image signal picked up by a video camera;
• and
• generating a conversion coefficient for generating camera motion prediction information expressing motion of the video camera which picked up an arbitrary image signal, from the arbitrary image signal, based on (a) sensor signal expressing physical motion of the video camera, which is obtained by a sensor for detecting physical motion, at the same time when the desired image signal was picked up, and (b) the camera motion estimation information, wherein a motion signal causes a user to experience a live feeling as if said user were riding in an image picked up by said video camera;
• wherein the camera motion estimation information for learning is generated based on (1) one or more motion vectors in the desired image signal and (2) the camera motion estimation information of an inputted image signal is generated based on a motion vector in the input image signal.

A non-transitory computer program recording medium encoded with a computer program for letting a computer execute information processing, the program comprising the steps of:

• generating relationship information generated by learning based on (a) camera motion estimation information expressing motion of a video camera, which is detected by a desired image signal picked up by the video camera, and (b) camera motion information expressing physical motion of the video camera, which was obtained by a sensor for detecting physical motion at the same time when the desired image signal was picked up by the video camera;
• detecting camera motion estimation information with respect to an inputted image signal, from the inputted image signal;
• and
• generating camera motion prediction information with respect to the inputted image signal, based on (1) the camera motion estimation information detected and (2) the relationship information, wherein a motion signal causes a user to experience a live feeling as if said user were riding in an image picked up by said video camera;
• wherein the camera motion estimation information for learning is generated based on (i) one or more motion vectors in the desired image signal and (ii) the camera motion estimation information of the inputted image signal is generated based on a motion vector in the input image signal.

A non-transitory recording medium encoded with a computer program for letting a computer execute learning processing, the program comprising the steps of:

• detecting camera motion estimation information from a desired image signal picked up by a video camera;
• and
• generating a conversion coefficient for generating camera motion prediction information expressing motion of the video camera which picked up an arbitrary image signal, from the arbitrary image signal, based on (a) sensor signal expressing physical motion of the video camera, which is obtained by a sensor for detecting physical motion, at the same time when the desired image signal was picked up, and (b) the camera motion estimation information, wherein a motion signal causes a user to experience a live feeling as if said user were riding in an image picked up by said video camera;
• wherein the camera motion estimation information for learning is generated based on (1) one or more motion vectors in the desired image signal and (2) the camera motion estimation information of an inputted image signal is generated based on a motion vector in the input image signal.

An information processing method comprising the steps of:

• detecting from an inputted image signal camera motion information with respect to the inputted image signal;
• and
• detecting camera motion prediction information with respect to the inputted image signal, based on (a) the detected camera motion information and (b) relationship information generated by learning based on (1) camera motion estimation information that expresses motion of a video camera, which is detected by a desired image signal picked up by the video camera, and (2) camera motion information that expresses physical motion of the video camera, obtained by a sensor for detecting physical motion at the same time that the desired image signal was picked up, wherein a motion signal causes a user to experience a live feeling as if said user were riding in an image picked up by said video camera;
• wherein the camera motion estimation information for learning is generated based on (i) one or more motion vectors in the desired image signal and (ii) the camera motion estimation information of the inputted image signal is generated based on a motion vector in the input image signal.

A non-transitory computer program recording medium encoded with a computer program for controlling a computer to execute information processing by:

• detecting from an inputted image signal camera motion information with respect to the inputted image signal;
• and
• detecting camera motion prediction information with respect to the inputted image signal, based on (a) the detected camera motion information and (b) relationship information generated by learning based on (1) camera motion estimation information that expresses motion of a video camera, which is detected by a desired image signal picked up by the video camera, and (2) camera motion information that expresses physical motion of the video camera, obtained by a sensor for detecting physical motion at the same time that the desired image signal was picked, wherein a motion signal causes a user to experience a live feeling as if said user were riding in an image picked up by said video camera;
• wherein the camera motion estimation information for learning is generated based on (i) one or more motion vectors in the desired image signal and (ii) the camera motion estimation information of the inputted image signal is generated based on a motion vector in the input image signal.