Video & Image Processing Cup

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

IEEE Video and Image Processing Cup

The Video and Image Processing Cup (VIP Cup) competition encourages teams of students to work together to solve real-world problems using video and image processing methods and techniques. Three final teams are chosen to present their work during ICIP to compete for the US$5,000 grand prize!

The current Call for Proposals for the VIP Cup can be found on the SPS Call for Proposals page. Please note that your proposal must be endorsed by one of the TCs. For endorsement, you must submit your proposal for endorsement to the SPS Technical Committee (TC) that best fits your proposal by deadline. You can find the Society’s TCs located on the Technical Committees page on the SPS website.

The submission deadline for TCs to submit endorsed proposals is TBA for the 2025 VIP Cup.

Technical Committees interested in submitting a call for proposal for the upcoming VIP Cup competitions, please visit the Technical Committees page for more information.

SPS VIP Cup Competition Terms & Conditions

IMPORTANT:  All team members must fully read and agree to the terms in this SPS Student Competition Terms and Conditions document in order to be  eligible in any SPS Student Competition. By checking the agreement checkbox during team registration, all team members agree to all of the Terms & Conditions mentioned in this document:

>> Download a copy of the full SPS SP Cup and VIP Cup Competition Terms & Conditions

IMPORTANT: [Judges and Team Supervisors] The IEEE Conflict of Interest form must be completed before participating in the competition. Complete the Conflict of Interest form.

Each team participating should be composed of one faculty member or someone with a PhD degree employed by the university (the Supervisor), at most one graduate student (the Tutor), and at least three, but no more than ten undergraduate students. At least three of the undergraduate team members must hold student memberships of the IEEE Signal Processing Society. Undergraduate students who are in the first two years of their college studies, as well as high school students who are capable of contributing are welcome to participate in a team. A participant cannot be on more than one team.

Team Composition

  • Each team MUST be composed of: (i) One faculty member (the Supervisor) and (ii) At least 3 but no more than 10 undergraduates; Optionally (iii) At most one graduate student (the Tutor).
    • At least three of the undergraduate team members must be SPS student members at time of team registration.
  • Further definitions of each team position are as follows:
    • Faculty (Supervisor): A faculty member or someone with a PhD degree employed by the university. Postdocs and research associates are not considered as faculty members.
    • Graduate Student (Tutor): A graduate student is a student having earned at least a 4-year University degree at the time of submission. Please note: Tutors are not eligible to receive travel grants or prize money.
    • Undergraduate: An undergraduate student is a student without a 4-year degree.
  • Team members cannot be changed after the team registration deadline.
  • At least one undergraduate team member must be in attendance (in-person) of the final round of the competition held at the respective conference (ICASSP or ICIP) to present the team’s work.*

Team ineligibility (Further clarification)

Specific team ineligibility, in addition to the above. Any of these criteria will result in the team being disqualified/ineligible to continue in the competition:

  • Teams that are composed with 50% or more of its undergraduate or tutor members being students who have previously participated on a finalist team within the last year are not eligible. For example, if two of four undergraduate team members participated as a member of a finalist team during the 2023 SP Cup will not be eligible to participate on a team for the 2023 VIP Cup.
  • Any team members who have placed in the top three teams of any SPS competition held during the previous conference, i.e. a member from one of the 3 finalist teams of the 2023 SP Cup (at ICASSP) will not be eligible to participate in the 2023 VIP Cup (at ICIP). Any team member that has received SPS travel support within the previous year  would not be eligible to receive travel support again if their team is selected as a finalist..
  • Team members cannot simultaneously participate in more than one competition at the same time. Team members cannot participate on more than one team at the same time.

Important notice: Upon registering a team for the competition, the team must commit to at least one undergraduate team member representing the team by attending the physical competition and participating in the final round of the competition at the physical conference. Should a team not be able to participate physically (in-person) in the final round of the competition held at the respective conference (ICASSP or ICIP) for any reason, at any point in the competition, then the team must notify SPS Staff and organizers immediately. This will likely result in the team being ineligible to continue in the competition, therefore forfeiting their position in the competition. Teams must make every effort to attend the final round at the conference; visa issues may be an exception. If all team members are unable to obtain visas, please be prepared to present proof of visa process, communication to obtain visa, as well as a visa denial. All eligibility decisions are at the discretion of the SPS Student Services Committee and competition organizers.

Should a team be disqualified or forfeit their finalist position for any reason, the next team selected by the organizers may be contacted to compete in the final round, following the same rules listed above.

The judging for the final phase of the competition held live at the conference will be based on five equally weighted criteria, unless otherwise specified by the competition organizers in the Official SP Cup Document/Call for Participation. Each of the three finalist teams will be scored on the five criteria and the team with the highest score will place 1st, the team with the second highest score will place 2nd, and the team with the third highest score will place 3rd in the competition.

The five equally weighted criteria are:

  1. Innovation of the proposed approach
  2. Performance of the first stage competition (by choosing the best submission, score as indicated on the website)
  3. Performance of the last submission (second phase held live at the conference) separately on the dataset(s)
  4. Quality and clarity of the final report
  5. Quality and clarity of the presentation

Each criterion is scored with a 1, 2, or 3; the best team in each criterion will receive 3 points, the second best team will receive 2 points, and the third best team will receive 1 point. The final winning rankings will be based on the highest points awarded from the five criteria during judge deliberations at the end of the competition. Final rankings are ultimately decided by the judges, at their discretion.

Any judge or team supervisor participating in the competition must sign a Conflict-of-Interest Form agreeing to the following key points. Full information is on the Conflict-of-Interest Form.

Conflict of Interest concerns shall be disclosed and addressed in accordance with IEEE Policies 9.9 A, B. and C and IEEE Policy 4.4.H. - Eligibility and Process Limitations. Judges involved at any stage of the team rankings/scoring process for an SP competition shall be ineligible to judge/vote on the outcome of team rankings for the competition in which the conflict exists. Any real and perceived conflict of interest shall be avoided. Conflict of interest shall be defined as any relationships, professional or otherwise, that can affect impartiality and objectivity. Such relationships include, but are not limited to the below list.  This list also applies.

  1. faculty supervisor/student,
  2. faculty supervisor/post-doc,
  3. manager/employee,
  4. shared institutional affiliations,
  5. recent (less than five years) research collaborations or joint authorship,
  6. judge/team supervisor
  7. In the case of a conflict of interest, the judge should neither listen to nor speak in the discussion and should not vote on the team scoring/ranking process.

In our SPS Policies and Procedures. The IEEE Conflict of Interest form (also mentioned above) must be completed before participating in the competition.

​​Conflict Resolution Process

The Society leadership will create an ad hoc committee to handle each matter requiring conflict resolution.

  1. Composition. The composition of each ad hoc committee will include area experts. The experts should be chosen based on mediation experience or subject area experience. All members of the ad hoc committee should be non-conflicted, e.g., no prior involvement in the situation, no collegial work relationship, etc. The committee may be augmented with the agreement of all members of the ad hoc committee. The committee will select its own chair.
  2. Process. During the first meeting of the ad hoc committee, the committee shall create a timeline detailing the conflict resolution process, as well as determine any operational rules for the ad hoc committee’s operation (e.g., length of final report; length of statement of dissent, etc.) The individual who brought the conflict matter forward shall be informed of the timeline. All discussions and information presented to the ad hoc committee shall be handled in a confidential manner.
     

    Decisions need not be unanimous; final outcomes may be determined by majority vote of the membership of the ad hoc committee. Dissenting members may include their dissenting opinion as part of the report; the length of such dissent will be determined as part of the committee’s operational rules.

    After the ad hoc committee has determined its final ruling, the ad hoc committee chair shall be responsible for preparing a short report documenting the committee’s findings. The report shall be provided to the individual who brought the conflict matter forward.

  3. Appeal. If the individual who brought the conflict matter forward feels that the matter has not been adequately resolved by the ad hoc committee at the Society level, the individual may escalate the matter further to TAB or IEEE. The ad hoc committee report shall be shared with TAB and/or IEEE.

The three teams with highest performance in the open competition based on the judging criteria will be selected as finalists and invited to participate in the final competition at ICIP. The 1st place (Champion) team will receive a grand prize of US$5,000. The teams placing 2nd (First Runner-Up) and 3rd (Second Runner-Up) will receive a prize of US$2,500 and US$1,500. See the current Official VIP Cup Document below for full details on the prize offerings.

  • Up to three student members from each finalist team will be provided limited travel support to attend the conference in-person. In-person attendance of the physical conference is required for reimbursement. Travel grant funds are offered on a reimbursement basis of up to $1,200 for continental travel and $1,700 for intercontinental travel; there are no exceptions.
  • Funds will be issued by way of a bank transfer after the competition via IEEE’s NextGen Expense Reimbursement (Concur) tool. Detailed information on this step will be sent via email to the finalist team members that will be receiving reimbursement.
  • Receipts are required for all expenses reimbursed under the travel support..

    • Prior to claiming your travel grant award, you must submit receipts of your travel expenses that are equal to or exceed the grant amount in order to receive the full travel grant payment. Travel expenses include: air fare, train tickets, hotel, visa fees, transit, meals, and conference registration. Receipts are required for all items and must equal to or exceed the total reimbursement amount. The receipts must show the form of payment used, name, date, and amount paid. Hotel reservation confirmations or bookings, invoices, or quotes for airfare are not acceptable receipts unless the proof of payment is also provided with the document.

    • All travel expenses must be submitted through IEEE’s NextGen Expense Reimbursement (Concur) tool. Detailed instructions on how to create an account and properly input receipts will be shared with the (up to) 3 undergraduate members from finalist teams receiving travel support.
  • Complimentary conference registration for up to three team members of finalist teams.
    • These complimentary conference registrations cannot be used to cover any papers accepted by the conference.
    • You must notify Jaqueline Rash, via email, of the three team members who have been chosen to receive complimentary registration. A registration promo code will be provided.
    • VISA: Once registered for the conference, each individual will have the opportunity to request an invitation letter through the conference website to be used for the visa application process. This is the only way to receive a letter; please follow instructions given on the conference website.To prevent delays, please do not request an invitation letter via email to SPS Staff.


IEEE SPS Video and Image Processing Cup at IEEE ICIP 2025
SS-OCT Image Analysis

IEEE ICIP 2025 Website | 14-17 September 2025 | 2025 VIP Cup 2024 Official Document
[Sponsored by the IEEE Signal Processing Society]
 

Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, have gained significant prominence in recent years due to their diverse applications in areas such as surveillance, delivery, agriculture, logistics, disaster response, and military operations. However, the proliferation of drones has also introduced critical challenges such as unauthorized aerial activity, potential threats from payload delivery systems including payload delivery for malicious purposes as well as major security and privacy concerns. This necessitates the detection and tracking of drones, along with the identification of their payloads to ensure safety and security, particularly in sensitive or restricted areas. 

Traditional vision-based approaches for drone detection predominantly rely on RGB images, which are often hindered by environmental factors such as low light, fog, or glare. On the other hand, infrared (IR) imaging provides complementary information by capturing thermal signatures enabling robust detection in challenging conditions such as nighttime or occlusion even in cases where the drones are exceedingly far from the field of view (FoV) of the surveillance cameras. Although it may seem that infrared imaging outperforms RGB imaging in such cases, standalone use of IR data may lack the spatial and textural richness provided by RGB images. This makes it essential to combine the two modalities to leverage their complementary strengths. 

Alongside drone detection, the ability to detect and identify payloads carried by drones is critical due to the potential risks associated with unauthorized or malicious payload delivery. Payloads may include hazardous materials, surveillance equipment, or contraband, posing threats to public safety, security, and privacy. Identifying payloads in real-time enables proactive measures to mitigate risks making it an essential aspect of drone monitoring systems. However, identifying and analyzing payloads carried by drones poses unique challenges. Payloads may vary in size, shape and thermal properties making it difficult to rely on a single modality for robust detection. RGB imaging provides critical visual cues for recognizing payload shapes and textures while IR imaging can highlight heat signatures of payloads, particularly those carrying heat-generating devices or components. A fusion-based approach is therefore crucial to enhance payload detection accuracy and reliability.

 

Task Description

The datasets, for both payload identification and drone detection, would be made available to the registered participants. The proposed solutions must be able to detect and track drones and identify the payload in real-time for each scenario considered in the datasets. A detailed description of the datasets along with a summary of each scenario considered will be provided with the datasets. Annotations for the training set will be made available along with the release of the datasets. The participants are also required to submit readable code of the proposed algorithm (preferably Python) with appropriate documentation and a brief description of the steps followed. Each solution should contain a demo code that could be used to run the submitted solution for a test video. The classification accuracy for the drone must be displayed in real-time on the test video while it is being played. The classification accuracy for the identified payload can be reported at the end of inference. The participants are also required to share the inference time (an evaluation metric) of their code and system specifications on which it was implemented.

The proposed solution must meet the following criteria:

  • The provided dataset of RGB and IR images must be used to train 3 different models - One on each RGB & IR, and one on the dataset obtained from fusion of these image pairs
  • The following rules apply for each of the above-mentioned models:
  • The model must be able to identify drones and differentiate them from other flying entities in real-time under different scenarios considered in the dataset.
  • The proposed solution should be able to track the trajectory of drones under various topographical conditions including distortions considered in the dataset and must be able to make conclusions on whether the drones are approaching or receding from the FoV of the camera source.
  • The model must be able to identify the type of payload along with the drone and report the same during the inference. A brief description of different payloads will be made available along with the release of the dataset.

 

Full technical details, dataset(s), evaluation metrics, and all other pertinent information about the competition is located in the 2025 VIP Cup Official Document.

Important Dates

  • Challenge announcement 30 March 2025
  • Availability of Training Data – 10th April 2025
  • Team Registration Deadline: 30 April 2025 (Register here)
  • Availability of Test Data – 20th May 2025
  • Final submission due: 15 June 2025
  • Finalists announcement: 15 July 2025
  • Presentation by top 3 teams and announcement of winners at ICIP 2025: September 14-17, 2025

Registration and Important Resources

Official VIP Cup Team Registration

  • All teams MUST be registered through the official competition registration system before the deadline in order to be considered as a participating team. Teams also MUST acknowledge, agree to the SPS Student Terms and Conditions, and meet all eligibility requirements at the time of team registration as well as throughout the competition. The Agreement Form can be found in the Official Terms & Conditions document linked in the top section of this page.
  • Registration Link: Register your team for the 2025 VIP Cup before 30 April 2025 and submit work before 15 June 2025! 
  • 2025 VIP Cup Information page (This is not the official registration, you must still register through the official team registration system to be eligible for prizes and participate in the competition: https://www2.securecms.com/VIPCup/VIPRegistration.asp)
     

Competition Organizers

SPS Technical Committee: Image, Video, and Multidimensional Signal Processing

  • Vishnu Ravishankar, Software Development Engineer, ARTPARK, Indian Institute of Science, India
  • Dharini Raghavan, Graduate Student, Georgia Institute of Technology, Atlanta, USA
  • Dr S Sethu Selvi, Professor, Department of ECE, Ramaiah Institute of Technology, India
  • Dr Raghuram S, Associate Professor, Department of ECE, Ramaiah Institute of Technology, India
  • Dr. Sitaram Ramachandrula, Senior Director, Data Science, [24]7.ai, India
  • Shefali Singh, Student Department of ECE, Ramaiah Institute of Technology, India
  • Sangeetha Kar, Student Department of ECE, Ramaiah Institute of Technology, India
  • Suman Jangid, Student Department of ECE, Ramaiah Institute of Technology, India

 

Contacts

Competition Organizers (technical, competition-specific inquiries): 

 

SPS Social Media

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel