Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

3525 results about "Image content" patented technology

Apparatus and method for optimized compression of interlaced motion images

An interlaced image processing module and corresponding method facilitate improved processing of interlaced motion images. In one embodiment, the interlaced image processing module receives image data frames having interlaced first and second fields and produces a reference field and error field. The reference field corresponds to the still image content of the interlaced frame, whereas the error field corresponds to the motion content of the interlaced frame, particularly the motion between fields. Motion between fields is thus represented in the error field, without redundant representation of the still image content provided by the first field. Where there is little motion between fields, the error terms will be small so the predictor preserves the coding efficiency provided by any auto-correlation in the image. Further, the interlaced image processing method does not rely upon pixel group classification, and thus avoids classification errors, and the loss of coding efficiency from still image content in motion classified blocks. Finally, problems presented by relative motion between fields are avoided, as are local artifacts. Another embodiment transforms the interlaced fields into frame data having a high frequency field and a low frequency field.
Owner:QUVIS +1

Image intelligent mode recognition and searching method

The invention puts forward an image intelligent mode identification search method. The method can establish an image sample training set database and combine with basic text search engine technology and basic image content inquiry technology, so that a network creeper can perform Internet image search and URL information resolution, so as to catch the image URL and relevant information into a local primary database; perform such pre-processes as preliminary filtration, decompression and image pre-classification and etc for the images; then, calculate color characteristics, grain characteristics and shape characteristics of the extraction images, so as to gain corresponding characteristic vector sets; combine with the image URL information before saving the images into the image basic database and establishing an index for the images; perform characteristic vector similarity calculation for images in the image basic databases and sample training sets, and then, save the classified images into an image classification database; accept key words or image description that are input by the user, create the index vector, perform similarity calculation with the image characteristic vectors in the image classification database, and then, return the index results to the user.
Owner:SHANGHAI XINSHENG ELECTRONICS TECH

Realization method of image searching system based on image recognition

The invention discloses a realization method of an image searching system based on image recognition; wherein the realization method comprises the following steps: carrying out preprocessing steps such as format transformation on images in adding images; carrying out recursion multilevel cutting to obtain all potential characters, portraits, objects and object subimage blocks based on uniform space, contrast grade, similarity in color and texture; obtaining marking texts of position and color; carrying out texture and material recognition, character recognition, outline object recognition and text marking on the subimage blocks; carrying out combination and word segmentation on the marking results; establishing index for the word segmentation result and related subimage block information and storing related data of the subimage blocks; in the situation of searching based on images, first identifying images and marking texts; then carrying out word segmentation on the text to obtain index data of a keyword sequence; combining and sequencing the index data of the keyword sequence to obtain related data of the subimage blocks and the images matching with the result set, and returning to users. With the system and method of the invention, the users can input characters and images to retrieve the content of the images.
Owner:程治永

Image compression and decompression

Clusters of pixels are defined for use in image compression and decompression. The image information used to define the clusters may include pixel values at predetermined positions relative to a pixel or related motion vectors, gradients, texture etc. During compression of images the image information relative to pixels is examined to determine the cluster to which it belongs. Thus pixels can be classified according to the cluster for their image information. In an embodiment the definitions of the clusters are selected dynamically, dependent on image content. For each cluster a control parameter set is computed for a post-processing operation, such as filter coefficients for filtering or statistical data for locally generating texture. The control parameter set is selected dependent on the image content so that, when the post-processing operation is applied to the image after decompression it will improve image quality for the pixels that are classified as belonging to the cluster. The compressed image and the control parameter sets are transmitted to a decompression apparatus. Upon decompression, the image information that represents the decompressed image is examined to classify pixels according to the clusters and the different control parameter sets for the selected clusters are used to control post-processing at the locations of the pixels.
Owner:KONINKLIJKE PHILIPS ELECTRONICS NV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products