Abstract: The present disclosure provides a bispecific antibody including a binding domain that binds to CD112R and a binding domain that binds to TIGIT, and the binding domain that binds to CD112R includes: HCDR1, HCDR2 and HCDR3 of the amino acid sequence set forth in SEQ ID NO: 1, and/or LCDR1, LCDR2 and LCDR3 of the amino acid sequence set forth in SEQ ID NO: 2; and the HCDR1, HCDR2, HCDR3, LCDR1, LCDR2 and LCDR3 are defined according to the Kabat, IMGT, Chothia, AbM or Contact numbering system. The present disclosure further provides a polynucleotide encoding the antibody, an expression vector, a host cell and a method for expressing and purifying the antibody, a pharmaceutical composition including the antibody of the present disclosure, and use of the bispecific antibody for treating cancer.

Abstract: Apparatus and method provided herein are directed to a linear differential directional microphone array (LDDMA), which takes into account the directionality of the array elements. The LDDMA may be designed by generating a steering vector for a linear array (LA) having preselected parameters including parameters ?, p, ?, N, and M, generating a constraint matrix based on the steering vector, reformulating the constraint matrix based on a microphone response matrix and a steering matrix, obtaining a beamformer by applying a minimum norm solution in terms of the constraint matrix, verifying a desired characteristic of the LA by calculating the beamformer for a desired direction, and constructing the LA based on the preselected parameters and the beamformer.

Abstract: An audio signal processing apparatus is provided by the present disclosure, and includes: multiple microphones; and every two of the multiple microphones being arranged in close proximity to each other, and the multiple microphones forming a symmetrical structure.

Abstract: An audio processing method is provided. The method includes: obtaining to-be-processed audio acquired by an audio acquisition end; performing filtering processing on the to-be-processed audio to obtain a processing result, wherein the filtering processing is used for filtering out partial audio signal components from the to-be-processed audio, and frequencies of the partial audio signal components are lower than a preset threshold; extracting a plurality of speech frames within a first preset duration from the processing result; obtaining an energy variation amount of the plurality of speech frames; and determining a category of the to-be-processed audio based on the energy variation amount.

Abstract: Apparatus and method provided herein are directed to a linear differential directional microphone array (LDDMA), which takes into account the directionality of the array elements. The LDDMA may be designed by generating a steering vector for a linear array (LA) having preselected parameters including parameters ?, p, ?, N, and M, generating a constraint matrix based on the steering vector, reformulating the constraint matrix based on a microphone response matrix and a steering matrix, obtaining a beamformer by applying a minimum norm solution in terms of the constraint matrix, verifying a desired characteristic of the LA by calculating the beamformer for a desired direction, and constructing the LA based on the preselected parameters and the beamformer.

Abstract: An audio signal processing apparatus is provided by the present disclosure, and includes: multiple microphones; and every two of the multiple microphones being arranged in close proximity to each other, and the multiple microphones forming a symmetrical structure.

Abstract: A videoconference apparatus and method coordinates a stationary view obtained with a stationary camera to an adjustable view obtained with an adjustable camera. The stationary camera can be a web camera, while the adjustable camera can be a pan-tilt-zoom camera. As the stationary camera obtains video, participants are detected and localized by establishing a static perimeter around a participant in which no motion is detected. Thereafter, if no motion is detected in the perimeter, any personage objects such as head, face, or shoulders which are detected in the region bounded by the perimeter are determined to correspond to the participant.

Abstract: A videoconference apparatus and method coordinates a stationary view obtained with a stationary camera to an adjustable view obtained with an adjustable camera. The stationary camera can be a web camera, while the adjustable camera can be a pan-tilt-zoom camera. As the stationary camera obtains video, participants are detected and localized by establishing a static perimeter around a participant in which no motion is detected. Thereafter, if no motion is detected in the perimeter, any personage objects such as head, face, or shoulders which are detected in the region bounded by the perimeter are determined to correspond to the participant.

Abstract: A videoconference apparatus and method coordinates a stationary view obtained with a stationary camera to an adjustable view obtained with an adjustable camera. The stationary camera can be a web camera, while the adjustable camera can be a pan-tilt-zoom camera. As the stationary camera obtains video, participants are detected and localized by establishing a static perimeter around a participant in which no motion is detected. Thereafter, if no motion is detected in the perimeter, any personage objects such as head, face, or shoulders which are detected in the region bounded by the perimeter are determined to correspond to the participant.

Abstract: A system for ensuring that the best available view of a person's face is included in a video stream when the person's face is being captured by multiple cameras at multiple angles at a first endpoint. The system uses one or more microphone arrays to capture direct-reverberant ratio information corresponding to the views, and determines which view most closely matches a view of the person looking directly at the camera, thereby improving the experience for viewers at a second endpoint.

Abstract: A videoconference apparatus at a first location detects audio from a location and determines whether the sound should be included in an audio-video stream sent to a second location, or excluded as an interfering noise. Determining whether to include the audio involves using a face detector to see if there is a face at the source of the sound. If a face is present, the audio data from the location will be transmitted to the second location. If a face is not present, additional motion checks are performed to determine whether the sound corresponds to a person talking, (such as a presenter at a meeting), or whether the sound is instead unwanted noise.

Abstract: A videoconference apparatus and method coordinates a stationary view obtained with a stationary camera to an adjustable view obtained with an adjustable camera. The stationary camera can be a web camera, while the adjustable camera can be a pan-tilt-zoom camera. As the stationary camera obtains video, participants are detected and localized by establishing a static perimeter around a participant in which no motion is detected. Thereafter, if no motion is detected in the perimeter, any personage objects such as head, face, or shoulders which are detected in the region bounded by the perimeter are determined to correspond to the participant.

Abstract: A system for ensuring that the best available view of a person's face is included in a video stream when the person's face is being captured by multiple cameras at multiple angles at a first endpoint. The system uses one or more microphone arrays to capture direct-reverberant ratio information corresponding to the views, and determines which view most closely matches a view of the person looking directly at the camera, thereby improving the experience for viewers at a second endpoint.

Abstract: A videoconference apparatus at a first location detects audio from a location and determines whether the sound should be included in an audio-video stream sent to a second location, or excluded as an interfering noise. Determining whether to include the audio involves using a face detector to see if there is a face at the source of the sound. If a face is present, the audio data from the location will be transmitted to the second location. If a face is not present, additional motion checks are performed to determine whether the sound corresponds to a person talking, (such as a presenter at a meeting), or whether the sound is instead unwanted noise.

Abstract: A method of detecting respective source locations of sounds in an audio signal. The method includes receiving the audio signal via a horizontal set of microphones and a vertical set of microphones. The respective source locations of the sounds in the audio signal are determined by analyzing the audio signal. Analysis is conducted with respect to the horizontal set of microphones and with respect to the vertical set of microphones, to determine a respective horizontal direction to the respective source locations of the sounds, and determine a respective vertical direction to the respective source locations of the sounds. The distance is calculated between the respective source locations of the sounds and the horizontal set of microphones and the vertical set of microphones.

Abstract: A videoconference apparatus and method coordinates a stationary view obtained with a stationary camera to an adjustable view obtained with an adjustable camera. The stationary camera can be a web camera, while the adjustable camera can be a pan-tilt-zoom camera. As the stationary camera obtains video, participants are detected and localized by establishing a static perimeter around a participant in which no motion is detected. Thereafter, if no motion is detected in the perimeter, any personage objects such as head, face, or shoulders which are detected in the region bounded by the perimeter are determined to correspond to the participant.

Abstract: A videoconference apparatus and method coordinates a stationary view obtained with a stationary camera to an adjustable view obtained with an adjustable camera. The stationary camera can be a web camera, while the adjustable camera can be a pan-tilt-zoom camera. As the stationary camera obtains video, participants are detected and localized by establishing a static perimeter around a participant in which no motion is detected. Thereafter, if no motion is detected in the perimeter, any personage objects such as head, face, or shoulders which are detected in the region bounded by the perimeter are determined to correspond to the participant.

Abstract: A videoconference apparatus at a first location detects audio from a location and determines whether the sound should be included in an audio-video stream sent to a second location, or excluded as an interfering noise. Determining whether to include the audio involves using a face detector to see if there is a face at the source of the sound. If a face is present, the audio data from the location will be transmitted to the second location. If a face is not present, additional motion checks are performed to determine whether the sound corresponds to a person talking, (such as a presenter at a meeting), or whether the sound is instead unwanted noise.

Abstract: A videoconferencing endpoint includes at least one processor a number of microphones and at least one camera. The endpoint can receive audio information and visual motion information during a teleconferencing session. The audio information includes one or more angles with respect to the microphone from a location of a teleconferencing session. The system evaluates the audio information is evaluated to determine at least one candidate angle corresponding to a possible location of an active talker. The candidate angle can be analyzed further with respect to the motion information to determine whether the candidate angle correctly corresponds to person who is speaking during the teleconferencing session. The person's face can then be framed within a frame view.

Abstract: A system for ensuring that the best available view of a person's face is included in a video stream when the person's face is being captured by multiple cameras at multiple angles at a first endpoint. The system uses one or more microphone arrays to capture direct-reverberant ratio information corresponding to the views, and determines which view most closely matches a view of the person looking directly at the camera, thereby improving the experience for viewers at a second endpoint.