32 results about "Interframe correlation" patented technology

The invention discloses a moving object detection method based on depth learning, which belongs to the technical field of video image processing. The method comprises steps: a constructed depth neural network model is trained to obtain an object neural network model with an ability of identifying a meaningful moving object; and the object neural network model is used for detecting a moving object from the currently-acquired scene image. The depth learning technique and the inter-frame correlation information are used, the method consumes small memory space, and the moving object is detected accurately with a little computational cost.

The invention relates to a video detection technology and discloses subtitle detection method and device as well as background recovery method and device, wherein the subtitle detection method comprises the following steps of: acquiring the probability of a pixel region in a video frame belonging to a smooth background; determining the probability of the pixel region belonging to a still texture by using an interframe correlation coefficient; acquiring the probability of the pixel region belonging to a dynamic texture; and determining whether the pixel region belongs to a roll subtitle regionor not according to the probability belonging to the smooth background, the probability belonging to the still texture and the probability belonging to the dynamic texture of the pixel region. By using the technical scheme provided by the embodiment of the invention, interframe information can be used for detecting subtitles of a video.

The invention provides a low illumination smog video detection method based on image correlation; the method comprises the following steps: compressing a recorded video image and converting into a gray scale image, and carrying out four-frame difference operation on the obtained gray scale image, thus extracting a motion object in the video image; selecting a property threshold to convert the interframe difference result into a binary image; carrying out median filtering on the obtained binary image, thus initially reducing image noises; calculating interframe correlation of various connecting zones of the binary image in order, removing non-smog motion areas with small image correlation, and obtaining an accurate smog area image. The method can directly observe the smog developing conditions, thus removing temperature, humidity, air pressure and smell factor influences, improving the smog detection accuracy, and keeping the false alarm rate within 10% under conservative estimation; in addition, the method can replay an extracted smog area developing process, thus accurately positioning the smog source position.

The provided fast refresh method in video coding process comprises: in every video signal frame, according to frame-to-frame cycle rule, coding new non-correlative data to code video information based on interframe correlation. It also provides a relative coding device controlled by user register. This invention can minimize the video information transmission error and data interruption, and improve efficiency and quality for compression and coding.

Techniques and tools for reducing latency in video encoding and decoding by constraining latency due to reordering of video frames, and by indicating the constraint on frame reordering latency with one or more syntax elements that accompany encoded data for the video frames. For example, a real-time communication tool with a video encoder sets a syntax element that indicates a constraint on frame reordering latency, which is consistent with inter-frame dependencies between multiple frames of a video sequence, then outputs the syntax element. A corresponding real-time communication tool with a video decoder receives the syntax element that indicates the constraint on frame reordering latency, determines the constraint on frame reordering latency based on the syntax element, and uses the constraint on frame reordering latency to determine when a reconstructed frame is ready for output (in terms of output order).

The invention discloses a tampered face video detection method, which comprises the following steps of: decoding face video data into a group of continuous frame images, intercepting a face area of each frame image, and correspondingly storing the face areas as face pictures according to frame serial numbers; extracting each face picture through a feature extractor to obtain a corresponding feature map; and the feature maps of the two continuous frames are input to an inter-frame correlation classifier at the same time, the inter-frame correlation classifier adopts an attention mechanism to fuse the feature maps of the two frames together and then classifies the feature maps, and the classification result is the probability that the two input frames are tampered. According to the method, the information of the frame picture and the inter-frame relationship between the frame picture and the adjacent frame are utilized at the same time, and a good effect can be achieved. Meanwhile, detection is automatically completed, and the method can be suitable for large-scale video platforms and social platforms.

The embodiment of the invention discloses a power measurement method and device, a chip, equipment and a computer readable storage medium, and the method comprises the steps: receiving a communicationsignal comprising a plurality of subframes, calculating intra-subframe related results and inter-subframe related results corresponding to the plurality of subframes, and calculating the sum of the intra-subframe related results and the inter-subframe related results; obtaining the correlation result summation, and determining the receiving power of the communication signal according to the powervalue corresponding to the correlation result summation, so that the power measurement precision can be improved.

The invention discloses a video SAR (Synthetic Aperture Radar) moving target detection method based on dynamic shadows, which mainly solves the problem that the existing video SAR moving target detection is not steady. The implementation scheme is as follows: 1) designing an accumulation window and carrying out region accumulation on a video SAR image sequence; 2) determining an accumulation threshold and carrying out image reforming on an accumulation result; 3) carrying out binary segmentation on the reformed image; 4) performing connected domain size statistics on the image after binary segmentation, and reserving connected domains of which the sizes are within the range of 0.4 time of the total number of pixel points occupied by the targets and 2 times of the total number of pixel points occupied by the targets; and 5) performing inter-frame correlation processing on the image after connected domain processing to remove non-target shadows, and completing moving target detection. According to the video SAR moving target detection method, the video SAR image is subjected to regionalized multi-frame joint detection, the false alarm probability and the missed alarm probability areeffectively restrained, the detection performance is improved, and the video SAR moving target detection method can be used for tracking and real-time detection of the video SAR moving target.

The invention belongs to the technical field of infrared remote sensing and infrared space, and discloses a space-based infrared aerial target detection method, a storage medium and computer equipment, and the method comprises the steps: determining a reference frame Ib and a reference frame Ib + l, carrying out the local normalization processing of a frame b, carrying out the local normalization processing of a frame b + j, and carrying out the inter-frame correlation difference; after the inter-frame correlation difference is completed, dipole enhancement and spatial difference are carried out; multiplying the data completed by the space background suppression, the dipole enhancement and the space difference to obtain an intermediate result; and performing global normalization processing, local feature contrast and adaptive threshold segmentation on the intermediate result data, and performing result detection. According to the invention, space-based infrared aerial target detection is realized by constructing the local inter-frame matching difference model and the space local contrast model, the processing complexity of infrared aerial target detection and the resource demand of hardware realization are reduced, and the target detection efficiency is effectively improved.

The invention provides a bad frame automatic detection method and device, equipment, a storage medium and a program product, and relates to the video processing technology, and the method comprises the steps: obtaining the information of each frame of picture in a to-be-detected video, and determining the difference between adjacent frames according to the information of each frame of picture; according to a preset fuzzy inference rule, performing correlation analysis on the difference between the adjacent frames to obtain an inter-frame correlation result; and determining a bad frame according to an inter-frame correlation result among the frames of pictures. According to the scheme provided by the invention, automatic detection of the bad frame can be realized, and the detection efficiency is improved; and moreover, correlation analysis is carried out on the difference of the adjacent frames by applying a fuzzy reasoning technology, the difference of the adjacent frames is the difference between the current frame and the front and back frames, the misjudgment that the video frame subjected to normal shot conversion in the video is mistakenly recognized as a bad frame can be effectively avoided through the mode, and then the video frame automatic detection efficiency is improved.