The VoiceMOS Challenge 2022

We warmly invite you to participate in the “VoiceMOS Challenge”, a machine learning challenge which has been preliminarily accepted as a special session in INTERSPEECH 2022.

The purpose of this challenge is to compare different machine learning based systems and approaches on the task of predicting the human-rated mean opinion score (MOS) of synthetic speech. With recent interest in data-driven approaches for MOS prediction using machine learning, a challenge for this task to encourage research in this area is timely and important. We recently collected a large-scale dataset of MOS ratings for a large variety of text-to-speech and voice conversion systems spanning many years.  This machine learning challenge releases this data to the public for the first time.

The challenge is divided into a main track and an “out-of-domain” (OOD) sub-track. Participants of both tracks are provided with a shared training and validation set curated from the above-mentioned dataset. The main track uses the test set from the same corpus, thus amounting to in-domain evaluation. The  OOD sub-track, on the other hand, uses out-of-domain (OOD) datasets for evaluation from a separate listening test on different audio samples. We are using the CodaLab (https://competitions.codalab.org/) as the competition platform, and we provide a few baseline scripts for training MOS prediction systems and generating sample submissions.

The challenge schedule is as follows:
        • Release of main track and out-of-domain training data: current
        • Release of evaluation data: February 21, 2022
        • Results submission deadline: February 28, 2022
        • Results sent to participant: March 7, 2022
        • INTERSPEECH Paper submission: March 21, 2022

Likewise with many challenges, there is no participation fee.
If you are interested in participating in the challenge, please do the following two steps to register:

1. Register for the challenge on CodaLab:  https://codalab.lisn.upsaclay.fr/competitions/695

2. Fill out this Google Form with information about your team: https://docs.google.com/forms/d/e/1FAIpQLSfvXt5hLRmiICN2SwmInWAAStgCtwC6a8XyzITZ6bt-2gt1HQ/viewform

Please only register one CodaLab account for your team.  Please also be patient since we need to manually approve your account on CodaLab; we typically approve accounts within one day.  Once your account is approved, you will be able to see more information on the CodaLab page about downloading the challenge data, etc.

Please freely contact us if you have questions at voicemos2022@nii.ac.jp.

Looking forward to hearing from you.
Regards,
The VoiceMOS Challenge organizing committee
Erica Cooper, Wen-Chin Huang, Yu Tsao, Hsin-Min Wang, Junichi Yamagishi, and Tomoki Toda

Meet the giants of Intelligent & Fuzzy Systems! INFUS 2022 Conference

INFUS 2022
JULY19-21, 2022
http://infus.itu.edu.tr/

INFUS 2022 INTERNATIONAL CONFERENCE ON INTELLIGENT AND FUZZY SYSTEMS,
DIGITAL ACCELERATION AND THE NEW NORMAL,
IZMIR TURKEY

 
INFUS 2022 conference will be organized in Izmir, Turkey. Virtual conference option will be available for the participants who cannot join to the conference on site.
 

Publish with INFUS 2022 Special Issues

Visit Beatiful City Izmir

Visit to Ancient City PERGAMON

 
 
The  Ancient City PERGAMON
 
Pergamon was a rich and powerful ancient Greek city in Mysia. It is located 26 kilometres from the modern coastline of the Aegean Sea on a promontory on the northside of the river Caicus (modern-day Bakırçay) and northwest of the modern city of Bergama, Turkey.
 

 

Scopus Proceedings-INFUS 2022 

 
INFUS 2022 proceedings will be published as a book by the Springer (Lecture Notes in Networks and Systems Series) and indexed by SCOPUS, WEB OF SCIENCE, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. 
 

 

ICMR 2022 Call for Papers (Deadline extension)

                         Call for Papers
ACM International Conference on Multimedia Retrieval (ICMR) 2022
            June 27-30, 2022 @ Newark, NJ, USA (Hybrid)
                    https://www.icmr2022.org/
=================================================================

Effectively and efficiently retrieving information based on user needs
is one of the most exciting areas in multimedia research. The Annual ACM
International Conference on Multimedia Retrieval (ICMR) offers a great
opportunity for exchanging leading-edge multimedia retrieval ideas among
researchers, practitioners and other potential users of multimedia
retrieval systems.This annual conference, which puts together the
long-lasting experiences of the former ACM CIVR (International
Conference on Image and Video Retrieval) and ACM MIR (International
Conference on Multimedia Information Retrieval) series, was set up in
2011 to illuminate the state of the arts in multimedia (e.g., text,
image, video, audio, sensor data, 3D) retrieval. Following the
successful previous editions of ICMR; Trento, Italy 2011, Hong Kong,
China 2012, Dallas, USA 2013, Glasgow, UK 2014, Shanghai, China 2015,
New York, USA 2016, Bucharest, Romania 2017, Yokohama, Japan 2018,
Ottawa, Canada 2019, Dublin, Ireland 2020, and Taipei, Taiwan 2021.

ACM ICMR 2022 is calling for papers presenting significant and
innovative research in multimedia retrieval and related fields. Papers
should extend the state of the art by addressing new problems or
proposing insightful solutions. The scope of the conference includes
core topics in multimedia retrieval and recommendation, as well as the
broader set of topics that must be addressed to ensure that multimedia
retrieval technologies are of practical use in real-world use cases.
Special emphasis is placed on topics related to large-scale indexing,
mixed reality user interaction, exploiting diverse and multimodal data,
and domain-specific challenges.

[Important Dates]
– January 30, 2022      Deadline for Full/Short/Special Session
   (Extended!)           Submission

– February 10, 2022     Deadline for Brave New Idea Paper
                         Submission

– February 17, 2022     Deadline for Tutorial Proposal Submission

– February 17, 2022     Deadline for Doctoral Symposium Paper
                         Submission

– February 17, 2022     Deadline for Workshop Paper Submission

– February 24, 2022     Deadline for Demonstration Paper
                         Submission

– February 28, 2022     Acceptance Notification of Tutorial
                         Proposal

– March 30, 2022        Acceptance Notification of Full / Short
                         / Special Session / Demonstration
                         / Doctoral Symposium Papers

CFP – CVPR 2022 Workshop on Image Matching: Local Features and Beyond

CVPR 2022 Workshop on Image Matching: Local Features and Beyond

Workshop website: https://image-matching-workshop.github.io
Challenge website: https://www.cs.ubc.ca/research/image-matching-challenge/
CMT website for paper submission: https://cmt3.research.microsoft.com/IMW2022

OVERVIEW

We are pleased to announce the fourth edition of the Image Matching Workshop, co-located with CVPR 2022. Its goal is to encourage and highlight novel strategies for image matching that deviate from and advance traditional formulations, with a focus on large-scale, wide-baseline matching for 3D reconstruction and pose estimation. This can be achieved by applying new technologies to sparse feature matching, or doing away with keypoints and descriptors entirely, such as with dense solutions.

We will also hold the fourth edition of the Image Matching Challenge, co-located with the workshop. Details will be announced in the coming weeks.

TOPICS

Workshop topics include (but are not limited to):
• Formulations of keypoint extraction and matching pipelines with deep networks.
• Application of geometric constraints into the training of deep networks.
• Leveraging additional cues such as semantics and mono-depth estimates.
• Methods addressing adversarial conditions where current methods fail (weather changes, day versus night, etc.).
• Attention mechanisms to match salient image regions.
• Integration of differentiable components into 3D reconstruction frameworks.
• Connecting local descriptors/image matching with global descriptors/image retrieval.
• Matching across different data modalities such as aerial versus ground.
• Large-scale evaluation of classical and modern methods for image matching, by means of our open challenge.
• New perception devices such as event-based cameras.
• Other topics related to image matching, structure from motion, mapping, and re-localization, such as privacy-preserving representations.

SUBMISSION

We invite paper submissions up to 8 pages, excluding references and acknowledgements. They should use the CVPR template and be submitted to the CMT site. Submissions must contain novel work and will be indexed in IEEE Xplore/CVF. They will receive at least two double-blind reviews.

IMPORTANT DATES

• Paper submission deadline: March 28, 2022.
• Notification to authors: April 4, 2022.
• Camera-ready deadline: April 7, 2022 (hard deadline on April 8, 2022).
• Workshop date: June 20, 2022, afternoon (exact schedule TBA)

ORGANIZERS

• Vassileios Balntas, Scape Technologies
• Vincent Lepetit, École des Ponts ParisTech
• Jiri Matas, Czech Technical University
• Dmytro Mishkin, Czech Technical University
• Johannes Schönberger, Microsoft
• Eduard Trulls, Google
• Kwang Moo Yi, University of British Columbia

More information at https://image-matching-workshop.github.io

Call for Participation: IEEE MIPR2022

5th IEEE Int. Conf. on Multimedia Information Processing and Retrieval
(MIPR'22)

August 2-4, 2022 @ Virtual
http://www.ieee-mipr.org/
======================================================================
New forms of multimedia data (such as text, numbers, tags, networking,
signals, geo-tagged information, graphs/relationships, 3D/VR/AR and
sensor data, etc.)  has emerged in many applications in addition to
traditional multimedia data (image, video, audio). Multimedia has
become the biggest of big data as the foundation of today's
data-driven discoveries. Almost all disciplines of science and
engineering, as well as social sciences, involve multimedia data in
some forms, such as recording experiments, driverless cars, unmanned
aerial vehicles, smart communities, biomedical instruments, security
urveillance.  Some recent events demonstrate the power of real-time
broadcast of unfolding events on social networks. Multimedia data is
not just big in volume, but also multi-modal and mostly unstructured.
Storing, indexing, searching, integrating, and recognizing from the
vast amounts of data create unprecedented challenges. Even though
significant progress has been made processing multimedia data, today's
solutions are inadequate in handling data from millions of sources
simultaneously.

The IEEE International Conference on Multimedia Information Processing
and Retrieval (IEEE-MIPR) aims to provide a forum for original
research contributions and practical system design, implementation,
and applications of multimedia information processing and retrieval
for single modality or multiple modalities. The target audiences will
be university researchers, scientists, industry practitioners,
software engineers, and graduate students who need to become
acquainted with technologies for big data analytics, machine
intelligence, information fusion in multimedia information processing
and retrieval.  A collection of keynotes, and workshops will be held,
together with paper/poster sessions.

The conference will accept regular papers (6 pages), short papers (4
pages), and demo papers (4 pages). Authors are encouraged to compare
their approaches, qualitatively or quantitatively, with existing work
and explain the strength and weakness of the new approaches. Selected
submissions will be invited to submit to journal special issues.

The conference includes (but not limited) the following topics of
multimedia data processing and retrieval.
– Multimedia Retrieval
        * Multimedia Search and Recommendation
        * Web-Scale Retrieval
        * Relevance Feedback, Active/Transfer Learning
        * 3D and sensor data retrieval
        * Multimodal Media (images, videos, texts, graph/relationship)
          Retrieval
        * High-Level Semantic Multimedia Features
– Machine Learning/Deep Learning/Data Mining
        * Deep Learning in Multimedia Data and / or Multimodal Fusion
        * Deep Cross-Learning for Novel Features and Feature Selection
        * High-Performance Deep Learning (Theories and
          Infrastructures)
        * Spatio-Temporal Data Mining
        * Novel Dataset for Learning and Multimedia
– Content Understanding and Analytics
        * Multimodal/Multisensor Integration and Analysis
        * Effective and Scalable Solution for Big Data Integration
        * Affective and Perceptual Multimedia
        * Multimedia/Multimodal Interaction Interfaces with humans
– Multimedia and Vision
        * Multimedia Telepresence and Virtual/Augmented/Mixed Reality
        * Visual Concept Detection
        * Object Detection and Tracking
        * 3D Modeling, Reconstruction, and Interactive Applications
– Networks for Multimedia Systems
        * Internet Scale System Design
        * Information Coding for Content Delivery
– Systems and Infrastructures
        * Multimedia Systems and Middleware
        * Software Infrastructure for Data Analytics
        * Distributed Multimedia Systems and Cloud Computing
– Data Management
        * Multimedia Data Collections, Modeling, Indexing, or Storage
        * Data Integrity, Security, Protection, Privacy
        * Standards and Policies for Data Management
– Novel Applications
        * Multimedia applications for health and sports
        * Multimedia applications for culture and education
        * Multimedia applications for fashion and living
        * Multimedia applications for security and safety
– Internet of Multimedia Things
        * Real-Time Data Processing
        * Autonomous Systems such as Driverless Cars, Robots, and
          Drones
        * Mobile and Wearable Multimedia

[Important Dates]
        * Regular and Short Paper Submission: February 28, 2022
        * Notification of acceptance: May 10, 2022
        * Camera ready due: July 1, 2022 
        * Conference Date: August 2 ? 4, 2022

[Organization]
– General Co-Chairs
        * C.-C. Jay Kuo (Univ. of Southern California, USA)
        * Klara Nahrstedt (Univ. of Illinois at Urbana-Champaign, USA)
        * Yong Rui (Lenovo Group, China)
        * Guan-Ming Su (Dolby Labs, USA)

– Program Co-Chairs
        * Ming-Ching Chang (State Univ. of New York at Albany, USA)
        * Abdulmotaleb El Saddik (Univ. of Ottawa, Canada)
        * Yan Tong (Univ. of South Carolina, USA)
        * Bihan Wen (Nanyang Technological Univ., Singapore)

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