Abstract: Provided herein is an apparatus for automated monitoring of facial images. The apparatus includes a cabinet having at least one video capturing device for continuously capturing video. The apparatus also includes means for analyzing frames to identify human facial images and for cropping facial images with data and time information, if detected, and at least one means for instantaneously transmitting the cropped facial images with date and time to at least one predefined storage unit operating in an unattended mode. The predefined storage unit is operatively connected to the cabinet. The apparatus can be configured for headless startup by means of an in built application software. A process for automated monitoring of facial images for surveillance purposes in a monitoring apparatus is also provided.

Abstract: A surveillance system including a fixed camera and one or more temporary cameras and a control means coupled to the fixed camera and the one or more temporary cameras is disclosed. The control means is configured to extend coverage of the fixed camera using the one or more temporary cameras coupled to the fixed camera. Each of the one or more temporary cameras includes one or more sensors and is configured to be deployed and adjusted based on sensor data obtained from the one or more sensors of the one or more temporary cameras and from one or more fixed camera sensors co-located with the fixed camera.

Abstract: A sampling filter process is provided for scalable video coding. The process provides for re-sampling using video data obtained from an encoder or decoder process of a base layer (BL) in a multi-layer system using adaptive phase shifting to improve quality in Scalable High efficiency Video Coding (SHVC). In order to compensate for phase offsets introduced by downsampling an appropriate phase offset adjustment is made for upsampling in SHVC with an appropriate offset included for proper luma/chroma color space positions. In one approach the luma/chroma phase offset is specified and a filter is selected to apply the appropriate phase change.

Abstract: The operation method of integrated control system according to an embodiment of the present invention comprises the steps of: providing an event detection request to the video analysis server; detecting an event by analyzing videos from at least one camera which are allocated to each video analysis server in accordance with default configuration; selecting at least one correlated camera corresponding to event-detecting camera by analyzing table information stored in the monitoring client as well as the event detection result; newly allocating the correlated camera to the at least one video analysis server; and detecting an event in each of the video analysis server by analyzing videos from the newly-allocated correlated camera.

Abstract: Systems and methods for intrusion detection using selective masking are provided. Some methods can include receiving a first signal from an intrusion detection system indicative of a first number of individuals within a zone of a secured area, receiving a second signal from an access control system indicative of a second number of authorized persons within the secured area, receiving a third signal from an internal positioning system indicative of a respective location of each of the authorized persons within the secured area, and correlating the first signal, the second signal, and the third signal to determine whether an unauthorized person is within the zone.

Abstract: An electronic apparatus for acquiring a panorama image using a plurality of cameras and a method for controlling the electronic apparatus thereof are provided. The electronic apparatus includes a plurality of cameras for capturing an image, a sensor for acquiring movement information, and a processor for determining individual movement information of the plurality of cameras with reference to a predefined location using movement information acquired through the sensor, acquiring a plurality of images through the plurality of cameras based on the individual movement information and generating a panorama image using the plurality of photographed images.

Abstract: Innovations in intra block copy (“BC”) prediction mode facilitate intra BC prediction that is more effective in terms of rate-distortion performance and/or computational efficiency of encoding and decoding. For example, some of the innovations provide ways to select block vector (“BV”) values more effectively. Other innovations provide ways to encode/decode BV values more efficiently. Still other innovations address how to perform in-loop deblock filtering when a block has intra BC prediction mode, or address how to perform intra BC prediction when constrained intra prediction is enabled.

Abstract: The invention relates to a motor vehicle camera system with an image capture unit and a drive device by means of which the image capture unit can be displaced from a standby position into at least one operating position, wherein the image capture unit is arranged in a mounting chamber of a motor vehicle and the mounting chamber has a movable closing element, wherein said closing element closes the mounting chamber if the image capture unit is in the standby position thereof, and opens the mounting chamber at least partially to the environment if the image capture unit is displaced into an operating position, wherein the closing element is at least partially transparent, and the image capture unit is aligned in the standby position thereof so that the image capture unit in the standby position thereof captures an outer region of the motor vehicle through the closing element.

Abstract: Systems and methods in accordance with embodiments of this invention perform depth regularization and semiautomatic interactive matting using images. In an embodiment of the invention, the image processing pipeline application directs a processor to receive (i) an image (ii) an initial depth map corresponding to the depths of pixels within the image, regularize the initial depth map into a dense depth map using depth values of known pixels to compute depth values of unknown pixels, determine an object of interest to be extracted from the image, generate an initial trimap using the dense depth map and the object of interest to be extracted from the image, and apply color image matting to unknown regions of the initial trimap to generate a matte for image matting.

Abstract: In various example embodiments, a system and method for data transfer using images are provided herein. An image is received from a source device. Moreover, the image represents information stored in a memory of the source device. The image is generated based on an application that converts the information into the image. Further information is then generated on a destination device based on the received image. The further information is a duplicate of the information that is stored in the memory of the source device.

Abstract: An image processing device and method that enable suppression of an increase in the amount of coding of a scaling list. The image processing device sets a coefficient located at the beginning of a quantization matrix by adding a replacement difference coefficient that is a difference between a replacement coefficient used to replace a coefficient located at the beginning of the quantization matrix and the coefficient located at the beginning of the quantization matrix to the coefficient located at the beginning of the quantization matrix; up-converts the set quantization matrix; and dequantizes quantized data using an up-converted quantization matrix in which a coefficient located at the beginning of the up-converted quantization matrix has been replaced with the replacement coefficient. The device and method can be applied to an image processing device.

Abstract: A method of decoding video data comprises receiving a bitstream of encoded video data, the encoded video data representing partitioned luma blocks and partitioned chroma blocks, wherein the chroma blocks are partitioned independently of the luma blocks, determining a respective coding mode corresponding to the respective partitioned luma blocks, decoding the respective partitioned luma blocks according to the determined respective coding modes, decoding a first syntax element indicating that the respective coding modes associated with the respective partitioned luma blocks are to be used for decoding a first partitioned chroma block, wherein the first partitioned chroma block is aligned with two or more partitioned luma blocks, determining a chroma coding mode for the first partitioned chroma block according to a function of the respective coding modes of the two or more partitioned luma blocks, and decoding the first partitioned chroma block in accordance with the determined chroma coding mode.

Abstract: A vision system for a vehicle includes a camera and a control. The camera is disposed at a vehicle and has a field of view exterior of the vehicle. The camera is operable to capture image data. The control includes an image processor. A single coaxial cable connects the camera with the control. The single coaxial cable carries (i) image data from the camera to the control, (ii) control data from the control to the camera and (iii) electrical voltage for powering the camera. The image processor is operable to process image data captured by the camera and carried to the control by the single coaxial cable. The single coaxial cable carries at least one FBAS signal.

Abstract: The embodiments relates to motion vector prediction and decoding for multi-view video content from multiple camera views (10, 20). At least one candidate motion vector predictor (44, 54) is provided for a current motion vector (34) to be encoded. A motion vector predictor (44) is then determined from the at least one candidate motion vector predictor (44, 54). Correspondingly, during decoding a motion vector (34) is determined for a current pixel block (30) based on a motion vector predictor (44) determined for the current pixel block (30).

Abstract: A method of performing embedded compression (EC) on image data includes receiving decoded image data; determining a block size of image data waiting for embedded compression from among the received image data; and comparing the determined block size of the image data waiting for embedded compression with an EC block size that is an embedded compression unit, the method further including: if the determined block size of the image data waiting for embedded compression is equal to or greater than the EC block size, embedding and compressing the received image data; and if the determined block size of the image data waiting for embedded compression is smaller than the EC block size, storing tag information of the received image data.

Abstract: Disclosed is a video decoding method that decodes a bitstream, the method including receiving a picture parameter set (PPS) comprising at least one of first information indicating whether the same reference picture list is applied to slices comprised in a picture and second information indicating whether additional information on modification of the reference picture list is present, and deriving a construction of the reference picture list based on the PPS. Accordingly, there are provided a method and an apparatus for signaling by a picture whether the construction of the reference picture list is modified when constructing the reference picture list.

Abstract: Embodiments include a method for autonomous camera pod tracking of a vehicle during vehicle alignment. The method can include receiving, at a processor of an autonomous camera pod, at least one of vehicle target image data from a vehicle target camera or calibration target image data from a calibration camera, the vehicle target camera being adapted to acquire images of a target mounted to the vehicle, and the calibration camera being adapted to acquire images of a calibration target mounted to a sister autonomous camera pod. An optimal location of the autonomous camera pod can be calculated based on the received vehicle target image data or calibration target image data. The method can include transmitting, when it is determined to move the autonomous camera pod, a motor command to a motor drive of the autonomous camera pod, thereby causing the autonomous camera pod to move to the optimal location.

Abstract: A system and method for image localization based on semantic segmentation are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on an autonomous vehicle; performing semantic segmentation or other object detection on the received image data to identify and label objects in the image data and produce semantic label image data; identifying extraneous objects in the semantic label image data; removing the extraneous objects from the semantic label image data; comparing the semantic label image data to a baseline semantic label map; and determining a vehicle location of the autonomous vehicle based on information in a matching baseline semantic label map.

Abstract: Methods for coding recovery point supplemental enhancement information (SEI) messages and region refresh SEI messages in multi-layer coding are disclosed. In one aspect, the method may include determining at least one picture among a plurality of pictures included within an access unit with which to associate at least one recovery point SEI message, the access unit being included within the multi-layer bitstream. The method may further include associating the at least one recovery point SEI message with the determined at least one picture. The method may also include coding the video information based at least in part on the association of the at least one recovery point SEI message with the determined at least one picture.

Abstract: The invention relates to the encoding or decoding of at least one portion of an image by predicting the at least one portion using at least one predictor, the at least one predictor being determined as a function of at least one reference image portion and as a function of values of a plurality of items of motion information. After having obtained a value of a first item of the plurality of items, a value of a second item is evaluated as a function of the obtained value of the first item, the second item being an item of the plurality of items and being distinct from the first item. Next, the at least one predictor is determined as a function of the at least one reference image portion and as a function of the first and second items.