Sports

A Descriptive Basketball Highlight Dataset for Automatic Commentary Generation MM 2024

The emergence of video captioning makes it possible to automatically generate natural language description for a given video. However, generating detailed video descriptions that incorporate domain-specific information …...

A Hybrid Deep Learning Model for Automated Cricket Commentary Generation ICCCMLA 2024

The paper proposes an innovative method for generating cricket commentary. A hybrid model is proposed that combines three types of neural networks: Convolutional Neural Networks (CNN) for image processing, Long …...

Automated cricket commentary generation using deep learning ICIASC 2023

This work presents an automated and novel system for cricket commentary generation by the introduction of event driven approach and image captioning features. The presented system uses artificial intelligence and machine …...

Automated Story Selection for Color Commentary in Sports T-CIAIG 2013

Automated sports commentary is a form of automated narrative. Sports commentary exists to keep the viewer informed and entertained. One way to entertain the viewer is by telling brief stories relevant to the game in …...

Ball-by-Ball Cricket Commentary Generation using Stateful Sequence-to-Sequence Model ComTech 2021

Due to the availability of high performance computational devices and enormous video data, deep learning algorithms are assisting for human understandable description of videos. Automatic commentary generation of cricket …...

Fine-Grained Video Captioning via Graph-based Multi-Granularity Interaction Learning T-PAMI 2022

Learning to generate continuous linguistic descriptions for multi-subject interactive videos in great details has particular applications in team sports auto-narrative. In contrast to traditional video caption, this task …...

GameFlow: Narrative Visualization of NBA Basketball Games TMM 2016

Although basketball games have received broad attention, the forms of game reports and webcast are purely content-based cross-media: texts, videos, snapshots, and performance figures. Analytical narrations of games that …...

Generating commentaries for tennis videos ICPR 2016

We present an approach to automatically generating verbal commentaries for tennis games. We introduce a novel application that requires a combination of techniques from computer vision, natural language processing and …...

Generating Live Soccer-Match Commentary from Play Data AAAI 2019

We address the task of generating live soccer-match commentaries from play event data. This task has characteristics that (i) each commentary is only partially aligned with events, (ii) play event data contains many …...

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation CIKM 2023

Despite the recent emergence of video captioning models, how to generate vivid, fine-grained video descriptions based on the background knowledge (i.e., long and informative commentary about the domain-specific scenes …...

MatchTime: Towards Automatic Soccer Game Commentary Generation ACL 2024

Soccer is a globally popular sport with a vast audience, in this paper, we consider constructing an automatic soccer game commentary model to improve the audiences’ viewing experience. In general, we make the …...

Outcome Classification in Cricket Using Deep Learning CCEM 2019

With the growth in applications of Artificial Intelligence day by day, every domain is going automated. Machine learning has enabled systems to learn the process on its own in order to reduce the human labour. In sports …...

Scaling up SoccerNet with Multi-view Spatial Localization and Re-identification Sci. Data 2022

Soccer videos are a rich playground for computer vision, involving many elements, such as players, lines, and specific objects. Hence, to capture the richness of this sport and allow for fine automated analyses, we …...

SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain NAACL 2021

In the pursuit of natural language understanding, there has been a long standing interest in tracking state changes throughout narratives. Impressive progress has been made in modeling the state of transaction-centric …...

SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries CVPRW 2023

Soccer is more than just a game - it is a passion that transcends borders and unites people worldwide. From the roar of the crowds to the excitement of the commentators, every moment of a soccer match is a thrill. Yet, …...

SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset SIM 2024

The application of Automatic Speech Recognition (ASR) technology in soccer enables sports analytics by extracting audio commentaries to provide insights into game events and facilitate automatic game understanding. This …...

SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos CVPRW 2021

Understanding broadcast videos is a challenging task in computer vision, as it requires generic reasoning capabilities to appreciate the content offered by the video editing. In this work, we propose SoccerNet-v2, a …...

SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos CVPRW 2018

In this paper, we introduce SoccerNet, a benchmark for action spotting in soccer videos. The dataset is composed of 500 complete soccer games from six main European leagues, covering three seasons from 2014 to 2017 and a …...

Sports Commentary Recommendation System (SCoReS): machine learning for automated narrative AIIDE 2012

Automated sports commentary is a form of automated narrative. Sports commentary exists to keep the viewer informed and entertained. One way to entertain the viewer is by telling brief stories relevant to the game in …...

Story Selection and Recommendation System for Colour Commentary in Cricket IJARSE 2015

During a cricket match, commentary keeps the viewers entertained and updated about the game. Quoting relevant stories related to the current game scenario makes the game more interesting. But the knowledge of …...

TenniSet: A Dataset for Dense Fine-Grained Event Recognition, Localisation and Description DICTA 2017

This paper introduces a new video understanding dataset which can be utilised for the related problems of event recognition, localisation and description in video. Our dataset consists of dense, well structured event …...