Accenture Global Solutions Limited

Accent Global Solutions Limited

Antonio Penta

Md Faisal Zaman

Anthony McCoy

Andrew Poole

Onur Can Sert

Anandita Pal

Hakan Ozkok

Stephen J O'Kennedy

Phillip Lynch

Osama M Mohamed

Hilary Allen

Andreea-Roxana Miu

A device may receive tracking data identifying trajectories of objects, and may annotate the tracking data to identify object categories for the tracking data. The device may identify objects based on the object categories, and may determine object trajectories for the objects. The device may transform the object trajectories to overhead planar trajectories, and may generate simplified object trajectories. The device may convert a continuous space associated with the simplified object trajectories into a discrete space, and may convert the discrete space to a lower dimensional space. The device may transform the object trajectories to binary feature vectors, and may process the binary feature vectors, with a clustering model, to determine trajectory clusters. The device may train a classification model with the binary feature vectors and the trajectory clusters, and may cause the trained classification model to be implemented.

Utilizing machine learning models to classify vehicle trajectories and collect road use data in real-time

This disclosure relates to systems and methods for discovering intents from multimedia conversations. In an implementation, the system may obtain an optimal parameter configuration based on a topic relevance quantifier. The system may extract topics from the audio calls based on the optimal parameter configuration. The system may determine respective context metrics for each of the topics. The system may select a relevant topic with respect to the intent discovery from the extracted topic based on the respective context metrics. The system may obtain documents associated with the relevant topic from the corpus of documents. The system may display information of the documents associated with the relevant topic via a user interface. The system may receive a feedback data with respect to the relevant topic. The system may determine intent information associated with the relevant topic based on the feedback data.

System and method for intent discovery from multimedia conversation

An image retrieval system may receive an image query that includes image data. The image retrieval system may determine an image descriptor based on the image data. The image retrieval system may obtain a text descriptor associated with the image descriptor in the descriptor repository. The image retrieval system may generate a document query comprising a search parameter, the search parameter including the text descriptor. The image retrieval system may identify, in a document database, text documents based on the document query. The text documents may be associated with document identifiers. The image retrieval system may obtain, from the file mapping repository, image identifiers associated with the document identifiers. The image query result from the image retrieval system may reference images associated with the image identifiers.

Text domain image retrieval

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Dublin, Ireland

Antonio Penta