Abstract: A method of tracking an object in a sequence of panoramic images and an apparatus and a computer program code suitable for implementing the method are described. For obtaining a current position of an object in a current panoramic image of a sequence of panoramic images, first an initial 2D position of the object in a preceding panoramic image is obtained. The initial 2D position is then projected back into 3D space to obtain an initial 3D position. Then a set of candidate 3D motion vectors is obtained based on the initial 3D position. The initial 3D position is subsequently motion compensated using this set of candidate 3D motion vectors to obtain a set of motion compensated 3D positions. The motion compensated 3D positions are then projected into a set of candidate 2D positions.

Abstract: A method for tracking an object commences by first establishing the object (12) in a current frame. Thereafter, a background region (202) is established encompassing the object in the current frame. The location for the object (12) is then estimated in a next frame. Next, the propagation of the background region (202) is determined. Finally, the object is segmented from its background based on propagation of the background region, thereby allowing tracking of the object from frame to frame.

Abstract: A method for controlling tracking using a color model is disclosed. The method includes obtaining a window in a second frame of a video image corresponding to a window in a first frame of the video image using a tracking algorithm in a tracking mode, wherein each pixel in the video image has at least one color component. The method further includes defining a background area around the window in the first frame, assigning a pixel confidence value for each pixel in the second frame according to a color model, assigning a window confidence value for the window in the second frame according to the pixel confidence values of pixels in the window in the second frame, if the window confidence value is greater than a first confidence threshold, selecting the tracking mode, and if the window confidence value is not greater than the first confidence threshold, selecting a mode different from the tracking mode.

Abstract: A device performs a method for tracking an object in a video sequence with a bounding box for display on the device by selecting at least one point that belongs to the object, then motion processing an area of points around the selected at least one point to determine an estimated bounding box; and then color processing the points in the estimated bounding box to determine the bounding box for display on the device. The colour processing comprises computing averages of scores from pixel differences to the background model minus pixel differences from the foreground model per line as long as such average is above a threshold.

Abstract: A method for tracking an object commences by first establishing the object (12) in a current frame. Thereafter, a background region (202) is established encompassing the object in the current frame. The location for the object (12) is then estimated in a next frame. Next, the propagation of the background region (202) is determined. Finally, the object is segmented from its background based on propagation of the background region, thereby allowing tracking of the object from frame to frame.

Abstract: The present disclosure relates to a method for selecting at least one item, from a plurality of items described by a plurality of attributes, accounting for a value and a weighting factor assigned to one of the attributes. According to at least one embodiment, the same weighting factor is assigned to the values of the same attribute for each of the items, and the method comprises: -adjusting one of the weighting factors according to an adjustment element received by a communication terminal; -selecting one of the items accounting for the adjusted weighting factor.

Abstract: A method and a device for deblurring a frame of a video are provided. The method includes obtaining (10) a set of neighboring frames of a current frame wherein a global score of sharpness is greater than a sharpness threshold, generating (20) of a local blur map, delivering the local blur map, performing (30) a local warping of at least one frame of the set and of the local blur map as a function of a local motion estimation between the current frame and the at least one frame of the set, delivering at least one locally warped frame and an associated locally warped blur map and performing (40) a weighted aggregation of a part of the at least one locally warped frame and a corresponding part the current frame, based on the at least one locally warped blur map and the local blur map of the current frame.

Abstract: A method for displaying a plurality of videos is disclosed. The method comprises: displaying a main video in a main graphical unit; displaying a secondary video among said plurality of videos in each of at least a secondary graphical unit; wherein the size or structure or position or transparency or overlap or shape of the at least one secondary graphical unit depends on information representative of spatio-temporal connectivity between a segment currently displayed of the main video and a segment currently displayed of the secondary.

Abstract: The invention relates to a method, performed by a computer, for processing a video sequence comprising a reference frame, wherein, for each current frame of the video sequence, the method comprises determining a motion field between a current frame and a reference frame and a quality metric representative of the quality of the determined motion field from determined motion field.

Abstract: A method for controlling tracking using a color model is disclosed. The method includes obtaining a window in a second frame of a video image corresponding to a window in a first frame of the video image using a tracking algorithm in a tracking mode, wherein each pixel in the video image has at least one color component. The method further includes defining a background area around the window in the first frame, assigning a pixel confidence value for each pixel in the second frame according to a color model, assigning a window confidence value for the window in the second frame according to the pixel confidence values of pixels in the window in the second frame, if the window confidence value is greater than a first confidence threshold, selecting the tracking mode, and if the window confidence value is not greater than the first confidence threshold, selecting a mode different from the tracking mode.

Abstract: A method for generating a motion field between a current frame and a reference frame belonging to a video sequence from an input set of elementary motion fields is disclosed. The method comprises performed for each pixel belonging to said current frame: determining a plurality of candidate motion vectors between the current frame and the reference frame wherein each candidate motion vector is the result of the sum of a first motion vector between the current frame and an intermediary frame belonging to the video sequence and of a second motion vector between the intermediary frame and the reference frame; and selecting a motion vector among candidate motion vectors. The method is remarkable in that elementary motion fields are obtained with different time intervals between pairs of frames and in that the first motion vector belongs to the input set of elementary motion fields and the second motion vector belongs to a set of previously selected motion vectors for other current frames of the video sequence.

Abstract: A method, performed by a computer, for editing a video sequence. The method comprises displaying a mother frame of the video sequence; capturing an information representative of a frame editing task applied by a user to the displayed mother frame wherein the frame editing task modifies an information related to at least a pixel of the displayed mother frame; and simultaneously displaying at least one child frame of the video sequence wherein the captured information is temporally propagated, the information representative of a frame editing task being propagated to at least a pixel in the at least one child frame corresponding to the at least a pixel of the displayed mother frame based on a motion field between the mother frame and the at least one child frame.

Abstract: The invention relates to a method for filtering a displacement field between a first image and a second image, a displacement field comprising for each pixel of the first (reference) image a displacement vector to the second image (current). The method comprises a first step of spatio-temporal filtering wherein a weighted sum of neighboring displacement vectors produces, for each pixel of the first image, a filtered displacement vector. The filtering step is remarkable in that a weight in the weighted sum is a trajectory weight, that is a trajectory weight is representative of a trajectory similarity. According to an advantageous characteristic, a trajectory associated to a pixel of the first image comprises a plurality of displacement vectors from the pixel to a plurality of images. According to another advantageous characteristic, a trajectory weight comprises a distance between a trajectory from the pixel and a trajectory from a neighboring pixel.

Abstract: A method for generating a motion field between a current frame and a reference frame belonging to a video sequence from an input set of elementary motion fields is disclosed. The method comprises performed for each pixel belonging to said current frame: determining a plurality of candidate motion vectors between the current frame and the reference frame wherein each candidate motion vector is the result of the sum of a first motion vector between the current frame and an intermediary frame belonging to the video sequence and of a second motion vector between the intermediary frame and the reference frame; and selecting a motion vector among candidate motion vectors. The method is remarkable in that elementary motion fields are obtained with different time intervals between pairs of frames and in that the first motion vector belongs to the input set of elementary motion fields and the second motion vector belongs to a set of previously selected motion vectors for other current frames of the video sequence.