Data Compression Standards Committee
IEEE Computer Society/ Data Compression Standard Committee (C/DC)

The 14th IEEE CS Data Compression Standard Committee Plenary Meeting Minutes

The 14th meeting of IEEE C/DCSC was held via online conference call. Quorum reached. The meeting was hosted by Dr. Feng Wu, the chair of DCSC.

Ms. Xiaoxu Luan presented the patent slides at the meeting. A call for potentially essential patents was made, and no potentially essential patent claims were declared, and no holders of potentially essential patents were identified. All IEEE CS DCSC members could ask for the IEEE official patent document from the secretary. The IEEE copyright policy statement was presented then. There were no questions or concerns. The meeting agenda was unanimously approved as presented without objection.

Approval of the PAR for Data framework for autonomous driving Working Group

Motion to approve the PAR for Data framework for autonomous driving Working Group (Mover: Dr. Dong Liu, Second: Dr. Siwei Ma) It was unanimously approved as presented without objection.

The chair of the new working group is Dr. Yanyong Zhang.

The scope of the project: This standard defines data-related architecture, components, interface, transmission, and connection protocols to enable highly efficient autonomous driving systems. The efficiency of the autonomous driving systems can be measured from the accuracy of perception and decision-making, the computational latency of perception and control, etc., while taking into account the power consumption of capture devices, edge servers and cloud servers.

Approval of the PAR for Application Programming Interface (API) of Deep Learning Inference Engine Sub-Working Group

Motion to approve the PAR for Application Programming Interface (API) of Deep Learning Inference Engine Sub-Working Group (Mover: Dr. Shan Liu, Second: Dr. Yonghong Tian) It was unanimously approved as presented without objection. The project number will be assigned as P2941.2.

The scope of the project: This standard defines a set of application programming interfaces (APIs) that can be used on different deep learning inference engines. The interfaces should include but not limited to parameter reading, model compilation optimization, operator registration, thread management, input/output data acquisition, inference instance creation and inference execution.

The next meeting is tentatively scheduled at 4:00 pm (Beijing Time Zone, GMT +8.00) on June 24th, 2022, Beijing, China. Remote attendees can request to set up a teleconference service at least one week before the meeting.

This meeting minutes was approved on the meeting.

The meeting closed at 5:30pm on April 29th, 2022.

Attachment

Annex 1: Meeting Agenda

Annex 2: Attendance List