Use Cases For Media Houses

The features can be combined as required to produce content in the best possible and time-saving way.

Speech to Text – Automated transformation of speech into text

A journalist makes a video report. After the video shoot, he has to sift through all the raw material of the shoot to pick out the most relevant sentences of the protagonists. He integrates these sentences in his final report to make it as interesting as possible. The screening of the entire material and the filtering of the most important sentences, requires a lot of time. The aingine of aiconix.ai minimizes this time-consuming work, because the system uses the Speech to Text feature to convert video and voice files into text files within seconds and provides them with the appropriate timecodes. Important text passages can thus be found much faster.

Semantic Analysis – Automated analysis of all types of texts

A journalist works on a video report of the topic X. In order to get as much knowledge as possible about the topic X, he has valuable text information in the form of articles, studies, surveys, documents, e-mails, websites, interviews and social media channels. The analysis of the material requires a lot of time. The aingine of aiconix.ai minimizes this time-consuming work: The system helps to analyze, structure, enrich and monitor texts. Thanks to the Semantic Analysis feature, the text can be automatically, cost-effectively extracted and quickly analyzed.

Translation – Automated translation of language and text

A journalist makes a video report with a foreign interview guest. The interview is shot in the native language of the interview guest. During the shoot and during the screening of the raw material, the journalist must hire a translator to translate the whole interview with the protagonist. The translation of the material takes a long time and is an additional cost factor. The aingine of aiconix.ai minimizes the time consumption and expense by using the Translation feature to transcribe the interview with the protagonist after the shoot automatically and afterwards translate it into the desired language.

Subtitles – Automated creation of subtitles

A journalist produces a video report. In this video report, he wants to integrate subtitles, so that the report can also be viewed without sound, for example on the smartphone. The subtitling of the entire report is currently still manual and takes a lot of time. The aingine of aiconix.ai takes over the complete subtitling of a film and can produce it in different languages by the system with the Subtitles feature. It creates a subtitle file, which can be implemented in the editing program and thus in the film.

Face Recognition – Automated recognition of faces

For a video report, a journalist is looking for produced material from person X in his picture and video archive. But the research of person X is laborious because the archive is not fully indexed. The research costs a lot of time for the journalist. The aingine of aiconix.ai minimizes this time: The system uses a Face Recognition feature to locate the person X within a few seconds in the archive. In addition, several people can be recognized in one picture.

Local Celebrity Recognition – Automated recognition of local celebrities

For a video report, a journalist is looking for produced material of the local celebrity X in his picture and video archive. But the research of the celebrity X is laborious because the archive is not fully indexed. The research costs a lot of time for the journalist. The aingine of aiconix.ai minimizes this time: The the system locates the local celebrity X with its feature Local Celebrity Recognition within a few seconds in the archive. In addition, several local celebrities can be recognized in one picture.

Emotion Recognition – Automated recognition of emotions

For a video report, a journalist is looking for produced material of person X with the emotion Y in his picture and video archive. But the research of person X with the emotion Y is laborious because the archive is not fully indexed .The research costs a lot of time for the journalist. The aingine of aiconix.ai minimizes this time: The system locates person X with emotion Y with its Emotion Recognition feature in conjunction with the Face Recognition feature within a few seconds in the archive.

Label Detection – Automated detection of objects

For a video report, a journalist is looking for produced material of the object X in his picture and video archive. But the research of object X is laborious because the archive is not fully indexed. It costs a lot of time for the journalist. The aingine of aiconix.ai minimizes this time: The system locates the object X with its Label Detection feature within a few seconds in the archive.

Shot Detection in Video – Automated recognition of image adjustment size

For a video report, a journalist is looking for produced material of the shot X in his picture and video archive. But the research of the shot X is laborious because the archive is not fully indexed. It costs a lot of time for the journalist. The aingine of aiconix.ai minimizes this time: The system locates the shot X with its feature Shot Detection within a few seconds in the archive.