Abstract: A computer-implemented method and a system for object identification and/or classification. The computer-implemented method includes receiving digital hologram data of a digital hologram of an object. The digital hologram data comprises phase information and magnitude information. The computer-implemented method further includes processing the digital hologram data based on a neural-network-based ensemble model to identify and/or classify the object.

Abstract: The present invention relates to the technical area of lens, particularly discloses a lens for focusing or collimating light emitted from an extended light source, which comprises a front surface facing towards the extended light source and a back surface facing away from the extended light source, wherein at least one of the surfaces comprises a central section and a plurality of annular sections concentrically surrounding the central section; and wherein each of the annular section corresponds to a small portion of the extended light source. A method of designing the above lens is also disclosed. Additionally, the present invention provides a cost-effective lens design with high precision and more particularly, a lens design which meets the transmittance requirement for extended light source.

Abstract: A method, system and medium for improving the quality of 2D-to-3D automatic conversion in a computing device by using machine learning techniques is provided, comprising: receiving new 2D image from user input; recognizing multiple objects in the new 2D image by machine learning algorithm; obtaining the hierarchical relations among objects according to the features of the said objects; improving the quality of 3D image according to the hierarchical relations. The implementation of this invention provides a more distinct classification of objects in a 2D image, thereby improving the 2D-to-3D conversion in the computing device.

Abstract: A method, system and medium for improving the quality of 2D-to-3D automatic conversion in a computing device by using machine learning techniques is provided, comprising: receiving new 2D image from user input; recognizing multiple objects in the new 2D image by machine learning algorithm; obtaining the hierarchical relations among objects according to the features of the said objects; improving the quality of 3D image according to the hierarchical relations. The implementation of this invention provides a more distinct classification of objects in a 2D image, thereby improving the 2D-to-3D conversion in the computing device.

Abstract: Method, equipment and apparatus for acquiring a spatial audio direction vector, the method including: determining a position of a sound source in a multi-sound system; setting a parameter comprising: a human response time ?t and a tolerance percentage ?; acquiring a sound signal from the sound source; and processing the sound signal by using the parameter and acquiring a corresponding spatial audio direction vector {right arrow over (E)} within each time interval ?t. A proportional constant D is determined according to a modulus of a spatial audio direction vector {right arrow over (E)}, and provides spatial information of depth for a virtual image corresponding to a multi-tone audio signal. A vector angle ?E the spatial audio direction vector {right arrow over (E)} provides spatial information of direction for the virtual image corresponding to the multi-tone audio signal, to improve viewer's viewing experience.

Abstract: The present invention relates to the technical area of lens, particularly discloses a lens for focusing or collimating light emitted from an extended light source, which comprises a front surface facing towards the extended light source and a back surface facing away from the extended light source, wherein at least one of the surfaces comprises a central section and a plurality of annular sections concentrically surrounding the central section; and wherein each of the annular section corresponds to a small portion of the extended light source. A method of designing the above lens is also disclosed. Additionally, the present invention provides a cost-effective lens design with high precision and more particularly, a lens design which meets the transmittance requirement for extended light source.

Abstract: Method, equipment and apparatus for acquiring a spatial audio direction vector, the method including: determining a position of a sound source in a multi-sound system; setting a parameter comprising: a human response time ?t and a tolerance percentage ?; acquiring a sound signal from the sound source; and processing the sound signal by using the parameter and acquiring a corresponding spatial audio direction vector {right arrow over (E)} within each time interval ?l. A proportional constant D is determined according to a modulus of a spatial audio direction vector {right arrow over (E)}, and provides spatial information of depth for a virtual image corresponding to a multi-tone audio signal. A vector angle ?E the spatial audio direction vector {right arrow over (E)} provides spatial information of direction for the virtual image corresponding to the multi-tone audio signal, to improve viewer's viewing experience.

Abstract: A network includes: at least a user terminal; a chat server; and at least a system for instant messaging. The system includes: a processor; memory; a chat engine; a control logic unit; and an input and output interface. The user terminal, the chat server, and the system are in communication with each other through instant messaging. A first user terminal is configured to send a message to a second user terminal indicating lack of privacy of the first user terminal when a first user of the first user terminal is logged in to the first user terminal, the first user being preregistered with a second user of the second user terminal. The second user terminal is configured to send a message to a third user and thereby notifying the third user of the lack of privacy of the first user terminal. A method for instant messaging is also provided.