Baidu Online Network Technology (beijing) Co., Ltd.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Nec (china)co., Ltd.

Guoyi Liu

Yuning Du

Chao Li

Feng Wang

Guang Cheng Li

Wei Zeng

Hongming Zhang

Shaopeng Tang

Xianglong Meng

Jiadong Zhang

Xiao Wang

Hao Jia Li

Jian Qiang Liu

Lei Qin

Shumin Han

Chenxia Li

Zhimin Xu

Kai Wei

Qingyuan Wang

Canxiang Yan

Qingming Huang

The present disclosure provides an image recognition method and apparatus, a device and a non-volatile computer storage medium. In embodiments of the present disclosure, it is feasible to obtain the to-be-recognized image of a designated size, extract the different-area image from the to-be-recognized image, and obtain the image feature of the different-area image according to the different-area image, so as to obtain the recognition result of the to-be-recognized image, according to the image feature of the different-area image and a preset template feature. In this way, recognition processing can be performed for images in a limited number of classes without employing the deep learning method based on hundreds of thousands of even millions of training samples.

Image recognition method and apparatus, device and non-volatile computer storage medium

Embodiments of the present disclosure provide a method and device for labelling a point of interest, a computer device, and a storage medium. The method includes the following. Image data to be labelled is obtained. The image data includes an image to be labelled and a collection location of the image to be labelled. Feature extraction is performed on the image to be labelled to obtain a first image feature of the image to be labelled. A first reference image corresponding to the image to be labelled is determined based on a similarity between the first image feature and a second image feature corresponding to each reference image in an image library. The point of interest of the image to be labelled is labelled based on a category of the first reference image and the collection location of the image to be labelled.

Method and device for labeling point of interest

A coin identification method and device, as well as a coin register are provided, which are related to a field of image identification. A specific implementation includes: extracting, from a to-be-identified image including coins, image blocks corresponding to the coins, to form an input coin set; inputting the input coin set into a coin classification model, to obtain categories and a classification confidences of the image blocks of the coins in the input coin set, wherein the category includes a face value of the coin; incorporating an image block, with a classification confidence reaching a threshold, of a coin of the input coin set into a first coin set; and determining a face value indicated by a category of the image block of the coin in the first coin set as a final face value of the coin in the first coin set.

Coin identification method, device, and cash register

The present disclosure relates to a method and a device for training an image recognition model and a related device. The method includes: extracting sub-image feature data from a detection frame sub-image of an input image; determining element feature data matching the sub-image feature data from an index element database; and outputting images related to the element feature data as training images for training the image recognition model. The index element database is built in advance based on a plurality of element feature data extracted from a plurality of candidate images.

Method and device for training image recognition model and related device

Embodiments of the present disclosure provide a method and apparatus for processing an image. The method may include: acquiring a feature of a target image; acquiring a style of the target image, and searching a feature most similar to the feature of the target image from a set of image related information of the style, where the set of image related information comprises features of multiple groups of paired images; and using a paired image of an image corresponding to the found feature as a paired image of the target image and outputting the paired image of the target image.

Method and apparatus for processing image

The present disclosure provides a watermark image processing method and apparatus, a device and a computer readable storage medium. In the embodiments of the present disclosure, it is feasible to obtain at least one similar image approximate to the watermark image according to the watermark image including the watermark, and obtain a replaceable image of each similar image of said at least one similar image in the watermark area, according to a watermark area where the watermark is located in the watermark image so that it is possible to obtain a carrier image not including the watermark, according to the watermark image and the replaceable image of said each similar image in the watermark area. Since the replaceable image of the similar image in the watermark area is employed to obtain the carrier image not including the watermark, the valid content in the watermark image covered by the watermark is restored and thereby the reliability of the image is improved.

Watermark image processing method and apparatus, device and computer readable storage medium

A method for recognizing a picture, a method and an apparatus for labelling a picture, and a storage medium. The method for recognizing a picture comprises: acquiring a clothes picture labelled with a positioning key point and a clothes wearing region (S); extracting, based on the locations of the clothes wearing region and the positioning key point, at least one picture region representing a feature region from the clothes picture (S); and respectively acquiring feature information representing the feature region based on a region feature recognition model corresponding to the feature region (S). By labelling the positioning key point, a picture representing a clothes content in the clothes picture is positioned, so that the interference of a background content in the clothes picture is reduced. On this basis, a picture region representing a feature region is extracted from a clothes picture based on a clothes wearing region and a labelled positioning key point, and then feature information on the feature region is acquired based on a corresponding region feature recognition model, thereby enhancing the accuracy and precision of recognizing the feature information on clothes in the clothes picture.

Method for recognizing picture, method and apparatus for labelling picture, and storage medium

The present application discloses an image-based information acquisition method and apparatus. The information acquisition method comprises: acquiring a first image; determining a second image matching the first image from a preset image library; presenting first information related to a commercial item if the second image is associated with commercial item information; and presenting second information related to a video if the second image is associated with video information. The information acquisition method of the present application can directly use images as references for acquiring information, thereby implementing the objective of improving information acquisition efficiency and accuracy.

Image-based information acquisition method and apparatus

A method and a device for objects counting in image processing includes acquiring the depth image of any one frame; detecting objects according to the depth image; associating the identical object in different frames to form a trajectory; and determining the number of objects according to the number of trajectories. The devices include an acquisition module for acquiring the depth image of any one frame; a detection module for detecting objects according to the depth image; an association module for associating the identical object in different frames to form a trajectory; a determining module for determining the number of objects according to the number of trajectories. The objects are detected according to the depth image. The identical object in different frames is associated to form a trajectory and the number of objects is determined according to the number of trajectories.

Method and a device for objects counting

A method and device for extracting color features, relating to the field of image processing includes converting an original image into sub-images corresponding to channels in a color space, dividing the sub-images into a plurality of cells with identical size, and calculating the color histograms of each of the plurality of cells. A cell and neighboring cells thereof are defined as the effective scope of the cell, and a feature vector of the cell is determined according to a degree of similarity of the color histograms of every two neighboring cells in the effective scope. The feature vectors of the cells in the sub-images are concatenated to obtain feature vectors of the sub-images, and a feature vector of the original image is obtained according to the feature vectors of the sub-images.

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Beijing, China

Guoyi Liu