Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

Abstract: A virtual visor system is disclosed that includes a visor having a plurality of independently operable pixels that are selectively operated with a variable opacity. A camera captures images of the face of a driver or other passenger and, based on the captured images, a controller operates the visor to automatically and selectively darken a limited portion thereof to block the sun or other illumination source from striking the eyes of the driver, while leaving the remainder of the visor transparent. The virtual visor system advantageously detects whether the driver of other passenger is performing particular head gestures and updates the optical state of the visor using suitable modified procedures that accommodate the intent or goals of the driver or other passenger that are inferred from the predefined head gesture. In general, the modified procedures reduce distracting or frustrating updates to the optical state of the visor.

Abstract: Disclosed are methods and apparatuses for image data encoding/decoding. A method of decoding an image includes receiving a bitstream in which the image is encoded; obtaining index information for specifying a block division type of a current block in the image; and determining the block division type of the current block from a candidate group pre-defined in the decoding apparatus. The candidate group includes a plurality of candidate division types, including at least one of a non-division, a first quad-division, a second quad-division, a binary-division or a triple-division. The method also includes dividing the current block into a plurality of sub-blocks; and decoding each of the sub-blocks with reference to syntax information obtained from the bitstream.

Abstract: An approach for reconstructing a current Network Abstraction Layer (NAL) unit for video decoding using at least one processor includes determining the current NAL unit to be an Intra Random Access Picture (IRAP) NAL unit; determining whether a previous NAL unit decoded immediately before the current NAL unit indicates an end of a coded video sequence (CVS); based on determining that the previous NAL unit indicates the end of the CVS, decoding the current NAL unit as one from among an Instantaneous Decoder Refresh (IDR) NAL unit or a Broken Link Access (BLA) NAL unit; and based on determining that the previous NAL unit does not indicate the end of the CVS, decoding the current NAL unit as a Clean Random Access (CRA) NAL unit, and reconstructing the decoded current NAL unit.

Abstract: A lamp controller interlocking system of a camera built-in headlamp inventive concepts includes a headlight module integrated with a camera and a light source, a camera controller generating a single frame image by composing an image captured in a short exposure section, in which a shutter opening time of the camera is relatively short, and an image captured in a long exposure section, in which the shutter opening time of the camera is relatively long, and a lamp controller controlling the light source to emit more light in the long exposure section more than in the short exposure section in synchronization with timings of the long exposure section and the short exposure section of the camera.

Abstract: A storage part retains: screen positioning data indicating a position, orientation, and shape of the screen in a reference coordinate space; image capture part positioning data indicating the position and orientation of the user space image capture parts in the reference coordinate space; and three-dimensional data representing a three-dimensional object in the reference coordinate space. A processing part: identifies a user viewpoint position on the basis of the image capture part positioning data and the user space images; generates, on the basis of the user viewpoint position, the screen positioning data, and the three-dimensional data, a display image of the three-dimensional object being viewable as though the three dimensional object had been seen in a virtual space from the user viewpoint position via the screen; and causes said display image to be displayed on the screen of a display.

Abstract: An occupant state detection system includes an occupant monitoring apparatus, a determination apparatus, and an occupant state detection apparatus. The occupant state detection apparatus includes one or more processors and one or more memories. The one or more memories store data including traveling-state comparative data and stopped-state comparative data. The one or more processors cooperate with one or more programs included in the one or more memories to receive occupant monitoring data from the occupant monitoring apparatus and determination data from the determination apparatus. On the basis of the determination data, the one or more processors compare the occupant monitoring data with the traveling-state comparative data on the condition that the vehicle is in the traveling state, and compare the occupant monitoring data with the stopped-state comparative data on the condition that the vehicle is in the stopped state, to detect a state of the occupant in the vehicle.

Abstract: Disclosed are an inter prediction mode-based image processing method and an apparatus therefor. Particularly, a method for processing an image on the basis of inter prediction may comprise the steps of: determining whether a motion vector scale adaptation is applied to a block; up-scaling a down-scaled MVD (Motion Vector Difference) when the motion vector scale adaptation is applied to the block; deriving a MV (Motion Vector) for the block, using the up-scaled MVD and a MVP (Motion Vector Predictor); and generating a predictive block of the block, using the derived MV.

Abstract: In one embodiment, a method for mapping pipes under inspection includes generating, from a video inspection camera inserted into a pipe, one or more images of the interior of the pipe, generating video camera velocity data, and determining, based at least in part on the one or more images and the velocity data, an estimation of the interior size of the pipe.

Abstract: Provided is an apparatus including: a detecting unit configured to detect a state change of sound or light emitted from an external security apparatus to external environment; and a controlling unit configured to, in response to the detecting unit detecting the state change, cause a surveillance camera to capture images or apply a tag on image data being captured by the surveillance camera.

Abstract: An embodiment of an image recording apparatus includes an eyeglass frame, at least one first optical unit disposed on the eyeglass frame for capturing a main scene image, and at least one second optical unit disposed on the eyeglass frame for capturing an auxiliary scene image. The first and the second field of view of the user at least partially overlap. The image resolution of the main scene image is lower than the image resolution of the main scene image and the field of view of the main scene image is larger than the field of view of the auxiliary scene image. The image recording apparatus further includes at least one processor for receiving the main and the auxiliary scene images, and generating a modified resolution copy of the main scene image based on the auxiliary scene image.

Abstract: A method for video coding in an encoder is provided. A first intra prediction mode in a first set of intra prediction modes for a non-square block is determined. The first set of intra prediction modes includes a specific number of wide angle intra prediction modes that are not in a second set of intra prediction modes for a square block, and the first set of intra prediction modes does not include a specific number of missing intra prediction modes that are in the second set of intra prediction modes. A first block is coded according to the first intra prediction mode. The specific numbers of the wide angle intra prediction modes and the missing intra prediction modes are a function of an aspect ratio of the first block, the second set of intra prediction modes includes directional modes from a bottom-left diagonal mode to a top-right diagonal mode.

Abstract: A parallax correction method for a transparent display system is provided. The transparent display system includes a transparent display device located between a background object and a user. The parallax correction method includes the following steps. A gaze point is displayed on the transparent display device. An image including the transparent display device, the background object and the user is captured. At least two display anchor points and at least two corresponding background object anchor points are detected according to the image. The display anchor points are located on the transparent display device, and the background object anchor points are located on the background object. A plurality of visual extension lines extending from the display anchor points and the corresponding background object anchor points are obtained. An equivalent eye position of the ocular dominance of the user is obtained according an intersection of the visual extension lines.

Abstract: A plurality of tracking cameras is pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw). The generated multi-dimensional motion curve is used to discover cross correlations between play action motions of the in-the-field sports participant and real-world sports results.

Abstract: A method for obtaining a three-dimensional model of an inspection site, using a perception module, is disclosed. The perception module comprises a detection unit, e.g. comprising one or more cameras and/or a three-dimensional laser scanner, configured to obtain a three-dimensional image. At least one three-dimensional image is obtained by means of the detection unit. A three-dimensional model of surroundings of the perception module is created, based on the obtained three-dimensional image. The created three-dimensional model and a plan of the inspection site are compared and features of the created three-dimensional model and features of the plan of the inspection site are matched. A site-specific three-dimensional model of the inspection site is formed, based on the created three-dimensional model and the plan of the inspection site, and based on the comparison.

Abstract: A camera monitoring system for motor vehicles is provided. An image capturing device is provided on a mounting assembly of the vehicle for an exterior field of view (FOV) of the vehicle extending sideward and rearward outside the vehicle and encompassing a portion of the exterior part of the vehicle. An electronic control unit (ECU) is connected to the image capturing device to obtain a captured image. An electronic display device is connected to the ECU and is located inside the vehicle and to be used by a driver. A gesture detector is configured to obtain at least one position of at least one part of the driver's body. The ECU is configured to adjust the FOV based on the obtained position and the display device is configured to display the adjusted FOV in a displayed image region, which can be moved within the captured image.

Abstract: The invention relates to a method for adjusting a display view of a vision aid system (1) of a vehicle (10), the method comprising the following steps: —(S1) identifying a specific situation when the vision aid system should be utilized; —(S2) receiving a display view setting for the specific situation, wherein the display view setting is based on at least one previous display view setting from at least one other vision aid system of another vehicle which has experienced the specific situation, wherein the at least one previous display view setting relates to the specific situation; and —(S3) adjusting the display view of the vision aid system (1) in accordance with the received display view setting.

Abstract: An in-cabin monitoring system includes a camera which captures an image of an inside of a cabin of a vehicle, a light source which irradiates the inside of the cabin with light, and a controller which controls the camera and the light source. The light source is capable of emitting first light which is light to be emitted when checking whether a person is present using the camera and second light which is stronger than the first light. The controller captures an image of the inside of the cabin using the camera while causing the light source to emit the second light, before the person gets in the vehicle and after the person gets out of the vehicle.

Abstract: The invention concerns a video feed monitoring app configured to be implemented with an interface and a processor. The interface may be configured to receive requests from an operator and present visual content to a display. The processor may be configured to process the requests and update the display. The video feed monitoring app may be configured to receive video streams from smart security devices, receive a priority signal, select a subset of the video streams in response to the priority signal and a user preference and arrange the subset of the video streams on the display. The priority signal may be generated externally based on events detected. The subset of the video streams may be updated based on the priority signal. Updating the subset of the video streams may comprise displaying the video streams that comprise events and removing the video streams that do not comprise events.

Abstract: Methods are disclosed that, in some aspects, provide for the determination of alarm events or non-alarm events based on data received from various sensors monitoring one or more entry points of a premises. Non-alarm events may, for example, include a seismic event or a knock event. Determining whether the data received from the various sensors is an alarm or non-alarm event may be based on data received from two or more sensors monitoring two or more entry points of the premises. Further, data related to the non-alarm event that occurred at the premise may be compared to data related to non-alarm events that occurred at other premises and, based on the comparison, one or more authorities may be alerted to the non-alarm event.