Formatting Culture. The Mpeg group and the technoscientific innovation by digital formats

This conversation reconstructs the process of technoscientific innovation of digital formats pursued in the ‘80s by the MPEG group led by Leonardo Chiariglione. Through a historical and cultural frame provided by Paolo Magaudda and the very words of the main character of this technoscientific story, Leonardo Chiariglione, the contribution gives fresh insights into the relationship between sociotechnical standards and the digitization of media culture

A comparison of deep learning models for end-to-end face-based video retrieval in unconstrained videos

Face-based video retrieval (FBVR) is the task of retrieving videos that containing the same face shown in the query image. In this article, we present the first end-to-end FBVR pipeline that is able to operate on large datasets of unconstrained, multi-shot, multi-person videos. We adapt an existing audiovisual recognition dataset to the task of FBVR and use it to evaluate our proposed pipeline. We compare a number of deep learning models for shot detection, face detection, and face feature extraction as part of our pipeline on a validation dataset made of more than 4000 videos. We obtain 97.25% mean average precision on an independent test set, composed of more than 1000 videos. The pipeline is able to extract features from videos at ∼ 7 times the real-time speed, and it is able to perform a query on thousands of videos in less than 0.5 s

DAVIC: motivazioni e obiettivi

pag 591.606Consiglio Nazionale delle Ricerche (CNR). Biblioteca Centrale / CNR - Consiglio Nazionale delle RichercheSIGLEITItal