1100 results about "Video recognition" patented technology

A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures.

A remote vehicle management system by video radar includes a camera array installed on the vehicle to capture and generate video data, video recognition units receiving the video data and converting into an object data stream, a vehicle database including static and dynamic data, an environment management unit generating a video radar data stream based on the object data stream and, a wireless transfer unit transmitting the radar data stream in a wireless medium, and a remote device reconstructing an illustrative screen based on the received video radar data stream by using specific icons or symbols, which is used to assist the operator of the vehicle to fully understand the actual situation so as to alleviate the human workload, reduce human mistakes and improve the efficiency of the vehicle management.

Providing interactive access to video programming and video content information in a multimedia system. A processing device of the multimedia system receives video content information associated with video programming that is to be broadcast. The video content information includes at least video identification information and video content information. The display device of the multimedia system presents a first interface image that presents the video content information for one of the video programs of the video programming. In response to viewer input, a second interface image is displayed on the display device presenting video content information for another one of the video programs of the video programming or for more detailed information associated with the video program. In this manner, the viewer can conveniently navigate through the video content information and identify information that is useful in selecting a program to watch.

A multi-dimensional database and indexes and operations on the multi-dimensional database are described which include video search applications or other similar sequence or structure searches. Traversal indexes utilize highly discriminative information about images and video sequences or about object shapes. Global and local signatures around keypoints are used for compact and robust retrieval and discriminative information content of images or video sequences of interest. For other objects or structures relevant signature of pattern or structure are used for traversal indexes. Traversal indexes are stored in leaf nodes along with distance measures and occurrence of similar images in the database. During a sequence query, correlation scores are calculated for single frame, for frame sequence, and video clips, or for other objects or structures.

A playback speed effect is applied to a video using a playback speed template. The playback speed template specifies playback speed ratios (i.e., ratios between playback duration and capture duration) at the highlight moment, at a template start time, and at a template end time. A video associated with a highlight tag indicating a highlight capture time of a highlight moment within the video is accessed. An input portion of the video including the highlight moment is identified. The duration of the input portion has a duration depending on the template start time and the template end time. A playback speed template is applied to the input portion. A modified video including a modified video portion is generated from the input portion of the video according to the applied playback speed template and is provided for subsequent playback.

An analytical recognition system includes a video camera, an antenna, and a data analytics module. The video camera is configured to capture video data. The antenna is configured to capture mobile communication device data. The data analytics module is configured to correlate the video data and the mobile communication device data to generate a profile of a person associated with the video data and the mobile communication device data. The profile has profile data including any one or a combination of the captured video data and the captured mobile communication data.

Proprietary rights logos are detected in a video. The video is divided into a plurality of regions that are analyzed for generic proprietary rights logo features. A confidence mask is generated that comprises a plurality of scaling factors, each scaling factor corresponding to a region of the video and indicating a likelihood that the corresponding region of the video includes a proprietary rights logo. The scaling factors of the confidence mask are applied to the video data to generate an altered video. The altered video is analyzed to determine a confidence measure that the video includes a reference proprietary rights logo.

An analytical recognition system includes one or more video cameras configured to capture video and a video analytics module configured to perform real-time video processing and analyzation of the captured video and generate non-video data. The video analytic module includes one or more algorithms configured to identify an abnormal situation. Each abnormal situation alerts the video analytics module to automatically issue an alert and track one or more objects or individuals by utilizing the one or more video cameras. The abnormal situation is selected from the group consisting of action of a particular individual, non-action of a particular individual, a temporal event, and an externally generated event.

A method obtains media on a device, provides identification of an object in the media via image / video recognition and audio recognition, and displays on the device identification information based on the identified media object.

A novel video surveillance system is made up of video and audio compression engine, a storage device and, a video and audio recognition engine. The video recognition engine detects such events as face recognition, motion detection etc, whereas audio recognition engine detects voice and other sound signatures indicating a potential alarm situation, e.g., panic voices such as screaming and yelling, or sounds such as gun shots, explosions. Combined recognition of audio and video signals provides for higher true alarm generation and lower false alarms level of the surveillance system. Additionally, the audio recognition engine provides information for directing video cameras in the direction of interest allowing better capture of an interesting scene.

The invention discloses a video identification-based detection apparatus and a method thereof of vehicles against regulations. The detection system comprises an upper supervisor, a control and transmission device, an infrared ray panoramic camera and a high speed close-up camera. The control and transmission device includes a video acquisition and conversion module, a rule arrangement module, a vehicle detection module, a peccancy analysis module, a camera control module, and a data wireless transmission module. According to the detection method, an image identification technology and a videotracking technology are applied, so that a problem of multi-target detection on vehicles against regulations is effectively solved and misjudgment on normal lane changing behaviors can be avoided; moreover, vehicles against regulations can be detected on the night condition and the condition of bad weather, wherein the vehicles are at the far distance. According to the invention, utilized equipment is perfect and the employed technology is mature; detection efficiency is high; detection cost is substantially reduced; and an efficiency and an intelligent level of traffic management are improved.

A surveillance system receives video data of a monitored scene and identifies flows of motion in the scene. Specifically, a video camera communicates with a video recognition system, which identifies a flow motion region of a monitored scene and determines characteristics of the identified flow motion region.

The invention discloses a method for identifying flame by video, a method for monitoring fire, and a system thereof. The method for monitoring fire comprises the following steps: acquiring video image, establishing a background model, and detecting prospect target in the video image; transmitting the image of the prospect target to a server end; judging which target points of the prospect target are color points of flame according to the color model of the flame established by training image; carrying out cluster analysis on the color points of the flame of the prospect target to acquire a flame area of the prospect target, and matching the prospect targets of the front and rear frame images; judging whether flame occurs in the flame area; when the matching relation exceeds the set threshold value; carrying out verification of a alarming verification mechanism when judging that flame occurs in the flame area; and when satisfying the warning condition, performing warning. The inventionhas wider range of application without limiting distance of scene, and achieves intelligentized processing.

Techniques and structures are disclosed in which one or more distortion categories are identified for an image or video, and a quality of the image or video is determined based on the one or more distortion categories. The image or video may be of a natural scene, and may be of unknown provenance. Identifying a distortion category and / or determining a quality may be performed without any corresponding reference (e.g., undistorted) image or video. Identifying a distortion category may be performed using a distortion classifier. Quality may be determined with respect to a plurality of human opinion scores that correspond to a particular distortion category to which an image or video of unknown provenance is identified as belonging. Various statistical methods may be used in performing said identifying and said determining, including use of generalized Gaussian distribution density models and natural scene statistics.

The invention provides an audio / video processing device and an audio / video processing method. The audio / video processing device comprises a receiving unit, a decoding unit, a user interface unit, an information extracting unit and an information storage unit, wherein the receiving unit receives signals and outputs transmission streams; the decoding unit decodes the output transmission streams; the user interface unit receives a determined content output by users; the information extracting unit extracts a prescribed content; and the information storage unit stores the prescribed content, wherein the determined content includes a determined video content or determined audio content, and the alternative one is determined by an audio / video contrasting relation table. The information extracting unit comprises an audio identification unit, a video identification unit and an information matching unit, wherein the audio identification unit identifies the determined audio content from audio steams from the decoding unit; the video identification unit identifies the determined video content from video steams from the decoding unit; the information matching unit determines if an identification result of the audio identification unit is matched with an identification result of the video identification unit, and when the identification result of the audio identification unit is matched with the identification result of the video identification unit, the information matching unit records the prescribed content which corresponds to the determined video content or the determined audio consent in the information storage unit.

The invention relates to a smart community parking space management method. The method comprises the following steps that: (1) the vehicle information of residents is inputted into a smart community background management system in advance, the information is associated, and the associated information is stored in a database; (2) when a vehicle enters a community, a gate station camera shoots the vehicle and transmits a vehicle image to the smart community background management system; (3) each parking space of the community is provided with a video acquisition device, the video acquisition device can acquire the license plate number of a parked vehicle and identifies the image and extracts the license plate number; and (4) parking space navigation and vehicle search navigation are performed through video identification, and therefore, a proprietor can be assisted to find a region for him or her to park the vehicle. With the method provided by the technical schemes of the invention adopted, effective management of the parking spaces in the community by the property management depart of the community can be facilitated; the proprietor can inquire an effective parking space and search his or her vehicle fast and timely; and the security protection effect of the community can be improved, and foreign vehicles are registered and recorded, so that intelligent management can be realized, and undisciplined parking can be corrected.

The invention discloses a network violent video identification method based on multiple examples and multiple characteristics. The method for identifying the network violent videos comprises the steps of grasping violent videos, non-violent videos, comments on the violent videos, comments on the non-violent videos, brief introductions of the violent videos and brief inductions of the non-violent videos from a video sharing network, and structuring a video data training set; extracting textural characteristics from textural information of the training set, forming textural characteristic vectors to train a textural pre-classifier, and screening out candidate violent videos by using the pre-classifier; using a shot segmentation algorithm based on a self-adapting dual threshold for conducting segmentation on video segments of the candidate violent videos, extracting related visual characteristics and voice frequency characteristics of each scene to express the scene, taking each scene as an example of multi-example study, and taking video segments as a package; and using an MILES algorithm for converting the package into a single example, using a characteristic vector for training a classifier model, and using the classifier model for conducting classification on the candidate violent videos. By the utilization of the network violence video identification method, bad influences that the network violent videos are broadcasted without constrain are largely lightened.

Provided are a method and an apparatus for performing exact start and end recognition of voice based on video recognition. The method includes determining whether a speech starts based on at least one of first video and audio data before conversion into a voice recognition mode, converting into the voice recognition mode and generating second audio data including a voice command, when it is determined that speech starts, and determining whether the speech is terminated based on at least one of second video and audio data after conversion into the voice recognition mode.

A novel video surveillance system is made up of video and audio compression engine, a storage device and, a video and audio recognition engine. The video recognition engine detects such events as face recognition, motion detection etc, whereas audio recognition engine detects voice and other sound signatures indicating a potential alarm situation, e.g., panic voices such as screaming and yelling, or sounds such as gun shots, explosions. Combined recognition of audio and video signals provides for higher true alarm generation and lower false alarms level of the surveillance system. Additionally, the audio recognition engine provides information for directing video cameras in the direction of interest allowing better capture of an interesting scene.

The invention, which belongs to the field of traffic big data application, discloses an urban traffic situation sensing method and a visualization method. According to the invention, urban floating car GPS data, electric police pass data, video monitoring data and mobile phone signaling data are transmitted to a big data analysis platform in real time; with utilization of video recognition, big data analysis, data fusion, internet, visualization and other technologies, multi-source traffic data fusion is realized; precise macroscopic, mesoscopic and microscopic parameters including the urban traffic operation index, road segment driving speed, and intersection flowing capacity and the like are obtained; and different levels of parameters reflecting the urban traffic situation are displayedat one map by using a visualized interface. Therefore, the comprehensive, full-space-time, full-coverage urban traffic operation situation is displayed precisely.

The invention discloses a vehicle video identification and speed measuring method. The concrete steps are as follows: (a). obtain a vehicle picture; (b). search the partial threshold value of vehicle license plate on the vehicle picture to obtain the license picture; (c). redress the inclination of the license picture; (d). search the frame of the license plate on the redressed picture and calculate the height of characters; (e). standardize characters on the license plate to obtain a number of partial blocks; (f). carry out the binary system for the partial blocks of each character to obtain two-digit pictures; (g). identify characters on the two-digit pictures to obtain characters on the license plate; (h). track the moving route of the license plate through results of step b and d; (i). calculate the moving distance of the vehicle body; and (j). calculate the running speed. The invention has the advantages of high precision of identifying vehicle licenses and low impact on light reflection of license plate, easy realization, and high practical value.

The invention provides a personnel identification method and system combining video identification and UWB (ultra-wideband) positioning technologies. The method comprise the steps of: A, in the simulation filed of a same supervision area, obtaining geographical positions of mobile positioning objects and the first quantity of the geographical positions according to video identification positioning, and obtaining positioning coordinates of positioning terminals and the second quantity of the positioning coordinates according to wireless positioning; B, comparing the first quantity and the second quantity at a same time, prompting abnormity and entering C if the first quantity is not equal to the second quantity, and prompting normality if the first quantity is equal to the second quantity; and C, obtaining abnormal geographical positions according to the matching between the positioning coordinates and the geographical positions. The method and system can efficiently monitor specific objects and specific occasions such as a campus, analyze and determine in real time position monitoring and video image monitoring information, and timely provide alarm response service, thereby enhancing campus safety service.

The invention provides a mobile device with surface displaying information and an interactive function which attaches the skin unit to the surface of a moving-object which is provided with the ability of motion expressing. Thus the crust becomes a skin which can display information and the colors, patterns and text information can be changed under the control of software. The flexible display device can also be provided with a layer of a touch sensing unit to sense the input interactive signals. Besides, the moving-object can integrate an environmental state sensing device or information identification device, and the environmental state recognition, text information recognition or image video recognition can be judged as input signals by the wire and wireless technologies, and thus the aims of integrating multiple input signals and output expression signals can de achieved and the interactivity of the moving-object is improved.

The invention discloses systems, methods, apparatuses, user interfaces and computer program products for providing social and interactive applications for mass media based on real-time ambient-audio and / or video identification. In some implementations, a method includes: receiving descriptors identifying ambient audio associated with a media broadcast; comparing the descriptors to one or more reference descriptors; and determining a rating for the media broadcast based at least in part on the results of the comparison.

The invention, which belongs to the technical field of computer vision and machine learning, discloses a video action recognition method and device. The method comprises: spatiotemporal features of avideo are extracted; according to the extracted features, a preset dense expansion network model is trained to obtain a target dense expansion network model; and a to-be-identified video is identifiedby using the target dense expansion network model to obtain a video recognition result. Therefore, the video action can be identified well and effectively; a new type of dense expansion network modelcan be generated by using a few of data; the video action recognition method and device are improved by being compared with the existing video recognition technologies; and a problem of difficult identification due to a few of new task samples is solved. The video action recognition method and device can be applied to video search, vehicle accident detection, medical imaging and other fields widely.

The invention discloses an automobile active safety system based on video recognition and a vehicle ad-hoc network. The automobile active safety system mainly comprises a video acquisition module, a processing module, a short distance communication module, a master control module and an output module. By installing the modules on an automobile, automobiles in front of or behind the automobile can be connected to form a mobile ad-hoc network so as to transmit automobile positions, plate numbers, speed and other information in the network, and active and safe protection of automobiles can be achieved.