Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Baidu Netcom Science and Technology Co., Ltd.

Bohao Feng

Xiaoshuai Zhang

Haiyang Xu

Guangyao Han

Fei Xiao

Hongda Yue

Yushen Chen

Xingbo Chen

Wenhao Fang

Liangjie Zhang

Liangxu Quan

Yuxin Liu

An entity recognition method and apparatus, an electronic device, a storage medium, and a computer program product are provided. The method includes: recognizing a to-be-recognized image to determine a preliminary recognition result for entities in the to-be-recognized image; determining, in response to determining that the preliminary recognition result includes a plurality of entities of a same category, image features of the to-be-recognized image and textual features of the plurality of entities; determining whether the plurality of entities is a consecutive complete entity based on the image features and the textual features, to obtain a complete-entity determining result; and obtaining a final recognition result based on the preliminary recognition result and the complete-entity determining result.

Entity recognition method and apparatus, and computer program product

There is provided a video question answering method and apparatus, an electronic device and a storage medium, which relates to the field of artificial intelligence, such as natural language processing technologies, deep learning technologies, voice recognition technologies, knowledge graph technologies, computer vision technologies, or the like. The method includes: determining M key frames for a video corresponding to a to-be-answered question, M being a positive integer greater than 1 and less than or equal to a number of video frames in the video; and determining an answer corresponding to the question according to the M key frames.

Video question answering method, electronic device and storage medium

An object recognition method related to the field of artificial intelligence comprises: collecting an object to be subjected to recognition (S); according to a target text detection model corresponding to the object to be subjected to recognition, carrying out screening and recognition on full text information corresponding to the object to be subjected to recognition, so as to obtain point-of-interest text information therefrom (S); and carrying out recognition on the point-of-interest text information according to a preset text recognition model (S). A target text detection model obtains point-of-interest text information by means of carrying out screening and recognition on full text information, such that the recognition of full text information in the prior art is avoided, thus saving recognition time, and improving the recognition efficiency.

Object recognition method and apparatus, and electronic device and storage medium

Embodiments of the present disclosure disclose a method and apparatus for commenting a video, and relate to the field of cloud computing. The method may include: acquiring content information of a to-be-processed video frame; constructing text description information based on the content information, the text description information being used to describe a content of the to-be-processed video frame; importing the text description information into a pre-trained text conversion model to obtain commentary text information corresponding to the text description information, the text conversion model being used to convert the text description information into the commentary text information; and converting the commentary text information into audio information.

Method and apparatus for commenting video

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Beijing, China

Bohao Feng