Abstract: A frozen stuffed fish ball with low soup loss and the method of preparing the same. By combining hydrocolloid and oil pre-emulsification technology, the problems of taste of powder, soup loss of fish balls after freeze-thaw cooking and the taste of frozen stuffed fish balls after freeze-thaw cooking are solved. The use of konjac gum and carrageenan or curdlan respectively, combined with oil pre-emulsification technology, also effectively improves the texture and brightness of the outer skin of fish balls. Compared with a single addition of conventional technology, the hardness, elasticity and brightness are increased, solving loosen structure, brightness and other problems due to freeze-thaw cycle. Further, it may be used in the fish ball processing line for preparing fish ball with fillings and other stuffed surimi products.

Abstract: A SHP2 phosphatase allosteric inhibitor and a drug containing said inhibitor, the SHP2 phosphatase allosteric inhibitor having the structure shown in formula (I), and the use of an optical isomer compound of the SHP2 phosphatase allosteric inhibitor or a pharmaceutically acceptable salt thereof in the preparation of drugs for the treatment of tumor diseases.

Abstract: An apparatus configured to, in respect of virtual reality content comprising video imagery configured to provide a virtual reality space wherein a virtual reality view presented to a user provides for viewing of the VR space; based on a comment made by and a virtual location of a commenting-user in the virtual reality space when the comment was made; provide for determination of a point of interest in the virtual reality space, the point of interest identified based on, at least, the virtual location of the commenting-user when the comment was made and semantic analysis of the comment to identify the point of interest surrounding the virtual location to which the comment refers, the point of interest associated with the comment thereby enabling the comment to be overlaid over the virtual reality view of the video imagery.

Abstract: There is provided an apparatus comprising means for performing: training a neural network by applying an optimization loss function, wherein the optimization loss function considers empirical errors and model redundancy (210); pruning a trained neural network by removing one or more filters that have insignificant contributions from a set of filters (220); and providing the pruned neural network for transmission (230).

Abstract: An apparatus configured to, in respect of a video provided to a user and wherein a plurality of comments are displayed such that they scroll across the video, based on the comments and one or more comment filtering rules, provide for comment filtering as each of the plurality of comments scrolls to meet a filter line, wherein the filter line extends across at least part of the video to define a first area overlaying the video and a non-overlapping second area overlaying the video, such that in the first area the plurality of comments are provided for display scrolling therethrough towards the filter line prior to comment filtering and in the second area the plurality of comments are provided for display with any comments of the plurality of comments that satisfy the one or more comment filtering rules removed from display.

Abstract: A method comprising: providing a first 3D point cloud and a second 3D point cloud about an object obtained using different sensing techniques; removing a scale difference between the 3D point clouds based on a mean distance of points in corresponding subsets of the first and second 3D point clouds; arranging the 3D point clouds in a two-level structure, wherein a first level is a macro structure describing boundaries of the object and a second level is a micro structure consisting of supervoxels of the 3D point cloud; constructing a first graph from the first 3D point cloud and a second graph from the second 3D point cloud such that the supervoxels represent nodes of the graphs and adjacencies of the supervoxels represents edges of the graphs; matching the first and second graph for obtaining a transformation matrix; and registering the 3D point clouds together by applying the transformation matrix.

Abstract: An apparatus configured to, in respect of first and second virtual reality content (207, 209) each configured to provide imagery for a respective first and second virtual reality space for viewing in virtual reality; and based on first-user-viewing-experience information defining an appearance of an object of interest (205) that appears in the first virtual reality content as viewed, in virtual reality, by a first user (201), and defining a time-variant point of view from which the first user (201) viewed the object of interest (205); providing for display to a second user (202), the second user provided with a virtual reality view of the second virtual reality content (203), of imagery of the object of interest (204) superimposed into the virtual reality space of the second virtual reality content (203) such that the second user (202) is able, while viewing the second virtual reality content, to witness the object of interest (204) as it was viewed by the first user (201).

Abstract: A method comprising: enabling a first user to define a message for display to at least a second user in association with a first three-dimensional scene viewed by the first user and viewed by or viewable by the second user, wherein the message comprises user-defined message content for display and message metadata, not for display, defining first three-dimensional spatial information; and enabling rendering of the user-defined message content in a second three-dimensional scene viewed by the second user, wherein the user-defined message content moves, within the second three-dimensional scene, along a three-dimensional trajectory dependent upon the first three-dimensional spatial information and three-dimensional spatial information of the second user.

Abstract: A method comprising performing image re-projection on each of a plurality of first images of a scene, thereby to generate a plurality of re-projected second images of the scene, wherein each first image of the scene is captured by a respective camera of a first multi-directional image capture apparatus and each second image of the scene is associated with a respective virtual camera; processing the plurality of second images based on a previously generated virtual three dimensional model of the scene, thereby to generate respective positions of the virtual cameras associated with the second images; and determining a position of the first multi-directional image capture apparatus based on one or more of the generated positions of the virtual cameras.

Abstract: A NN is trained using a cost function that places constraints on weights in the NN. The constraints are based on key(s) and cluster center(s) of the weights. The training embeds a capability to produce signature(s) corresponding to the key(s). Information is output that corresponds to the trained NN for testing a NN to determine if the tested NN is or is not verifiable as the trained NN. A NN is tested using the key(s) to determine output signature(s). The output signature(s) are compared, using a metric, with other signature(s) that correspond to the key(s). Based on the comparison, it is determined whether the NN is or is not verified as a known NN with the embedded capability to produce specific signatures corresponding to the key(s). In response to the NN being determined to be verified as the known NN, the NN is reported as being verified.

Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: use received current-field-of-view indication data together with future-event-direction data, in respect of recorded panoramic video output provided by panoramic video content data, to provide a sensory cue for a viewer of the recorded panoramic video output to indicate the direction of a future event in the recorded panoramic video output which is outside a current field of view, wherein the recorded panoramic video output is configured to provide video content to the viewer which extends outside the field of view of the viewer in at least in one direction, and the future-event-direction data is supplemental to the panoramic video content data which provides the video content itself.

Abstract: An apparatus configured to, in respect of first and second virtual reality content (207, 209) each configured to provide imagery for a respective first and second virtual reality space for viewing in virtual reality; and based on first-user-viewing-experience information defining an appearance of an object of interest (205) that appears in the first virtual reality content as viewed, in virtual reality, by a first user (201), and defining a time-variant point of view from which the first user (201) viewed the object of interest (205); providing for display to a second user (202), the second user provided with a virtual reality view of the second virtual reality content (203), of imagery of the object of interest (204) superimposed into the virtual reality space of the second virtual reality content (203) such that the second user (202) is able, while viewing the second virtual reality content, to witness the object of interest (204) as it was viewed by the first user (201).

Abstract: A method comprising: providing a first 3D point cloud and a second 3D point cloud about an object obtained using different sensing techniques; removing a scale difference between the 3D point clouds based on a mean distance of points in corresponding subsets of the first and second 3D point clouds; arranging the 3D point clouds in a two-level structure, wherein a first level is a macro structure describing boundaries of the object and a second level is a micro structure consisting of supervoxels of the 3D point cloud; constructing a first graph from the first 3D point cloud and a second graph from the second 3D point cloud such that the supervoxels represent nodes of the graphs and adjacencies of the supervoxels represents edges of the graphs; matching the first and second graph for obtaining a transformation matrix; and registering the 3D point clouds together by applying the transformation matrix.

Abstract: A method comprising: obtaining a three-dimensional (3D) point cloud about an object; obtaining binary feature descriptors for feature points in a 2D image about the object; assigning a plurality of index values for each feature point as multiple bits of the corresponding binary feature descriptor; storing the binary feature descriptor in a table entry of a plurality of hash key tables of a database image; obtaining query binary feature descriptors for feature points in a query image; matching the query binary feature descriptors to the binary feature descriptors of the database image; reselecting one bit of the hash key of the matched database image; and re-indexing the feature points in the table entries of the hash key table of the database image.

Abstract: A method comprising: enabling a first user to define a message for display to at least a second user in association with a first three-dimensional scene viewed by the first user and viewed by or viewable by the second user, wherein the message comprises user-defined message content for display and message metadata, not for display, defining first three-dimensional spatial information; and enabling rendering of the user-defined message content in a second three-dimensional scene viewed by the second user, wherein the user-defined message content moves, within the second three-dimensional scene, along a three-dimensional trajectory dependent upon the first three-dimensional spatial information and three-dimensional spatial information of the second user.

Abstract: An apparatus configured to, in respect of virtual reality content comprising video imagery configured to provide a virtual reality space wherein a virtual reality view presented to a user provides for viewing of the VR space; based on a comment made by and a virtual location of a commenting-user in the virtual reality space when the comment was made; provide for determination of a point of interest in the virtual reality space, the point of interest identified based on, at least, the virtual location of the commenting-user when the comment was made and semantic analysis of the comment to identify the point of interest surrounding the virtual location to which the comment refers, the point of interest associated with the comment thereby enabling the comment to be overlaid over the virtual reality view of the video imagery.

Abstract: An apparatus configured to, in respect of a video provided to a user and wherein a plurality of comments are displayed such that they scroll across the video, based on the comments and one or more comment filtering rules, provide for comment filtering as each of the plurality of comments scrolls to meet a filter line, wherein the filter line extends across at least part of the video to define a first area overlaying the video and a non-overlapping second area overlaying the video, such that in the first area the plurality of comments are provided for display scrolling therethrough towards the filter line prior to comment filtering and in the second area the plurality of comments are provided for display with any comments of the plurality of comments that satisfy the one or more comment filtering rules removed from display.

Abstract: An augmented reality method for displaying information comprises: capturing a sequence of image frames by a camera of a portable device, obtaining movement data by using an inertial sensor of the portable device, determining a sampling frame rate according to the movement data, selecting a tracking image from the captured image frames according to the sampling frame rate, determining a position of the portable device by comparing the tracking image with a point cloud, and displaying information on a display of the device based on the determined position.

Abstract: This specification describes a method comprising generating, from a plurality of first images representing a scene, at least one stereoscopic panoramic image comprising a left-eye panoramic image and a right-eye panoramic image. Depth map images are generated corresponding to each of the left and right-eye panoramic images. Each of the left and right-eye panoramic images are re-projected to obtain a plurality of second images, each associated with a respective virtual camera. Each of the left and right-eye depth map images are re-projected to generate a re-projected depth map associated with each second image. A first three-dimensional model of the scene based on the plurality of second images is determined. A second three-dimensional model of the scene based on the plurality of re-projected depth map images is determined. One or more corresponding points of the first and second three-dimensional models is or are compared to determine a scaling factor.

Abstract: The embodiments relate to a method and to technical equipment for implementing the method. The method includes receiving an image with location information from a client; requesting processed region data from a media server based on the location information, said processed region data including one or more images with the corresponding location information; applying a first process for determining a pose of a device for the received image by means of the processed region data; if the first process fails to result the pose of the device, applying a second process for determining a pose of a device for the received image by means of the processed region data; saving the image with the determined pose of the device to the media server; providing the image and the pose of the device to a client for client rendering.