The present disclosure provides an intelligent cataloging method for all-media news based on multi-modal information fusion understanding, which obtains multi-modal fusion features by unified representation and fusion understanding of video information, voice information, subtitle bar information, and character information in the all-media news, and realizes automatic slicing, automatic cataloging description, and automatic scene classification of news using the multi-modal fusion features. The beneficial effect of the present disclosure is that it realizes the complete process of automatic comprehensive cataloging for the all-media news, and improves the accuracy and generalization of the cataloging method, and greatly reduces the manual cataloging time by generating stripping marks, news cataloging descriptions, news classification labels, news keywords, and news characters based on the fusion of multi-modes of video, audio, and text.

A public opinion acquisition method and device, a word viscosity model training method and device, a server, and a medium are provided in the present disclosure. And the present disclosure relates to the technical field of artificial intelligence, specifically to image recognition and natural language processing, which can be used in a cloud platform. A video public opinion acquisition method includes: receiving a public opinion acquisition request, the public opinion acquisition request including a public opinion keyword to be acquired; matching the public opinion keyword to be acquired with video data including a recognition result, wherein the recognition result is obtained by performing predefined content recognition on the video data, the predefined content recognition including text recognition and image recognition; and determining video data that matches with the public opinion keyword to be acquired as result video data.

An image display device including a display configured to display a first image is provided. The image display device includes a controller configured to generate a second image by enlarging a part of the first image displayed in a first region of the display and to control the display to display a part of the second image in the first region, and a sensor configured to sense a user input for moving the second image. In response to the user input, the controller is configured to control the display to move and display the second image, within the first region.

An electronic apparatus and a method for controlling the same are disclosed. The method for controlling an electronic apparatus includes acquiring multimedia content including a plurality of image frames, acquiring information related to the multimedia content, selecting at least one image frame including an object related to the acquired information among objects included in the plurality of image frames, generating description information for the at least one selected image frame based on the acquired information, and acquiring description information for the multimedia content based on the generated description information. Thus, the electronic apparatus may generate description information for more elaborate scene analysis regarding multimedia content.

An event argument extraction (EAE) method, an EAE apparatus and an electronic device, relates to the technical field of knowledge graphs. A specific implementation scheme includes acquiring a to-be-extracted event content; and performing argument extraction on the to-be-extracted event content based on a trained EAE model, to obtain a target argument of the to-be-extracted event content; where the trained EAE model is obtained by training a pre-trained model with event news annotation data and a weight of each argument annotated in the event news annotation data.

The present application discloses a video distribution timeliness determining method and an apparatus. A specific implementation scheme is: parsing a video to be distributed to obtain video-related information of the video to be distributed; determining a timeliness period of the video to be distributed according to the video-related information, where the timeliness period is used to indicate an effective duration corresponding to the video to be distributed; and determining timeliness end time of the video to be distributed according to initial time of the video to be distributed and the timeliness period. Compared with the prior art, it does not dependent on timeliness labeling experience of a reviewer. Therefore, it is not interfered by subjective factors of the reviewer, and a labeling quality is stable. In addition, there is no need to train the reviewer, which saves manpower and material resources and also improves a determining efficiency of video timeliness.

The present disclosure discloses a method and apparatus for determining video material of news. The method for determining video material of news comprises: acquiring a weighted score value of a score of a keyword of a news text in a plurality of dimensions; filtering a keyword set of news based on the weighted score value of the score of the keyword; searching a pre-selected video using the keyword set of the news; and determining video material of the news based on the pre-selected video. The present disclosure improves the consistency between the video material of the news and the news text.

The present disclosure discloses a method and apparatus for determining video material of news. The method for determining video material of news comprises: acquiring a weighted score value of a score of a keyword of a news text in a plurality of dimensions; filtering a keyword set of news based on the weighted score value of the score of the keyword; searching a pre-selected video using the keyword set of the news; and determining video material of the news based on the pre-selected video. The present disclosure improves the consistency between the video material of the news and the news text.

Embodiments of the present disclosure provide a method and apparatus for generating a video. The method may include: determining a commentary of a target news cluster, each piece of news in the target news cluster being specific to a given news event; generating a voice corresponding to each paragraph in the commentary using a speech synthesis technology; determining a candidate material resource set corresponding to the commentary based on a video and an image included in the target news cluster, the candidate material resource being a video or image; determining a candidate material resource sequence corresponding to the each paragraph in the commentary; and generating a video corresponding to the commentary based on the voice corresponding to the each paragraph in the commentary and the candidate material resource sequence.

Embodiments of the present disclosure provide a method and apparatus for generating information. The method may include: determining at least one video segment obtained by semantically segmenting videos included in a target news cluster as a target video set, where respective pieces of news in the target news cluster directs to a given news event; determining a commentary for the target news cluster; determining, based on the target video set and a target image set, a candidate material resource set corresponding to the commentary, where the target image set is composed of respective images included in the target news cluster; and for each paragraph in the commentary, determining degrees of matching between the paragraph and candidate material resources in the candidate material resource set.