{
  "id": 46246,
  "title": "Welcome & Important Competition Info",
  "url": "/competitions/sp-society-camera-model-identification/discussion/46246",
  "author_name": "",
  "post_date": "2017-12-23T04:06:50.450253200Z",
  "votes": 11,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hello everyone,</p>\n\n<p>On behalf of the IEEE Signal Processing Society, I want to welcome you to the “Open Competition” portion of the IEEE Signal Processing Cup!  This year’s competition is a multimedia forensics challenge: identify the model and manufacturer of an image’s source camera using only the image itself.</p>\n\n<p>The IEEE Signal Processing Cup is an annual competition designed to expose teams to challenging problems in signal processing and machine learning.  While the Signal Processing Cup is targeted at teams of undergraduates, we are happy to allow anyone to enter into the “Open Competition” portion that is being run through Kaggle.</p>\n\n<p>Please pay close attention to the prizes for this competition and their related eligibility requirements.  The top scoring teams of the Kaggle competition will be awarded prizes totaling $20,000 that have been generously donated by Kaggle.  Additionally, the top 3 undergraduate teams will be invited to the Signal Processing Cup finals, where they will compete for $10,000 in total prizes from the IEEE Signal Processing Society and will present their algorithms at the world’s largest signal processing conference – the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).</p>\n\n<p>If you are an undergraduate team that wishes to compete in the Signal Processing Cup finals at ICASSP, it is important that you:</p>\n\n<p>1) Check the eligibility rules listed on both the “Prizes” subsection of the “Overview” section on the Kaggle competition page and on the IEEE Signal Processing Cup registration page which can be found here:\n<a href=\"https://signalprocessingsociety.org/get-involved/signal-processing-cup\">https://signalprocessingsociety.org/get-involved/signal-processing-cup</a></p>\n\n<p>2) Add the phrase “_SPcup_eligible” to the end of your team’s name when registering for the Kaggle competition.</p>\n\n<p>3) Use the same team name when registering for the Kaggle competition and the IEEE Signal Processing Cup registration page</p>\n\n<p>You can find more information on the Piazza site that we have set up for the Signal Processing Cup competition here:\n<a href=\"https://piazza.com/ieee_sps/other/spcup2018/home\">https://piazza.com/ieee_sps/other/spcup2018/home</a></p>\n\n<p>If your team is eligible to participate in the finals, you can register with the IEEE Signal Processing Society here (this must be completed for you to be considered for the final competition at ICASSP):\n<a href=\"https://signalprocessingsociety.org/get-involved/signal-processing-cup\">https://signalprocessingsociety.org/get-involved/signal-processing-cup</a></p>\n\n<p>If you have questions, my co-organizer Paolo Bestagini and I will help answer them to the best of our ability.  We hope you find this competition challenging and exciting! Good luck everyone!</p>\n\n<p>Matthew Stamm\nIEEE Signal Processing Cup - Lead Organizer\nAssistant Professor, Drexel University</p>",
  "messages": [
    {
      "id": "261587",
      "postDate": "12/23/2017 04:06:50",
      "content": "<p>Hello everyone,</p>\n\n<p>On behalf of the IEEE Signal Processing Society, I want to welcome you to the “Open Competition” portion of the IEEE Signal Processing Cup!  This year’s competition is a multimedia forensics challenge: identify the model and manufacturer of an image’s source camera using only the image itself.</p>\n\n<p>The IEEE Signal Processing Cup is an annual competition designed to expose teams to challenging problems in signal processing and machine learning.  While the Signal Processing Cup is targeted at teams of undergraduates, we are happy to allow anyone to enter into the “Open Competition” portion that is being run through Kaggle.</p>\n\n<p>Please pay close attention to the prizes for this competition and their related eligibility requirements.  The top scoring teams of the Kaggle competition will be awarded prizes totaling $20,000 that have been generously donated by Kaggle.  Additionally, the top 3 undergraduate teams will be invited to the Signal Processing Cup finals, where they will compete for $10,000 in total prizes from the IEEE Signal Processing Society and will present their algorithms at the world’s largest signal processing conference – the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).</p>\n\n<p>If you are an undergraduate team that wishes to compete in the Signal Processing Cup finals at ICASSP, it is important that you:</p>\n\n<p>1) Check the eligibility rules listed on both the “Prizes” subsection of the “Overview” section on the Kaggle competition page and on the IEEE Signal Processing Cup registration page which can be found here:\n<a href=\"https://signalprocessingsociety.org/get-involved/signal-processing-cup\">https://signalprocessingsociety.org/get-involved/signal-processing-cup</a></p>\n\n<p>2) Add the phrase “_SPcup_eligible” to the end of your team’s name when registering for the Kaggle competition.</p>\n\n<p>3) Use the same team name when registering for the Kaggle competition and the IEEE Signal Processing Cup registration page</p>\n\n<p>You can find more information on the Piazza site that we have set up for the Signal Processing Cup competition here:\n<a href=\"https://piazza.com/ieee_sps/other/spcup2018/home\">https://piazza.com/ieee_sps/other/spcup2018/home</a></p>\n\n<p>If your team is eligible to participate in the finals, you can register with the IEEE Signal Processing Society here (this must be completed for you to be considered for the final competition at ICASSP):\n<a href=\"https://signalprocessingsociety.org/get-involved/signal-processing-cup\">https://signalprocessingsociety.org/get-involved/signal-processing-cup</a></p>\n\n<p>If you have questions, my co-organizer Paolo Bestagini and I will help answer them to the best of our ability.  We hope you find this competition challenging and exciting! Good luck everyone!</p>\n\n<p>Matthew Stamm\nIEEE Signal Processing Cup - Lead Organizer\nAssistant Professor, Drexel University</p>",
      "rawMarkdown": "Hello everyone,\n\nOn behalf of the IEEE Signal Processing Society, I want to welcome you to the “Open Competition” portion of the IEEE Signal Processing Cup!  This year’s competition is a multimedia forensics challenge: identify the model and manufacturer of an image’s source camera using only the image itself.\n\nThe IEEE Signal Processing Cup is an annual competition designed to expose teams to challenging problems in signal processing and machine learning.  While the Signal Processing Cup is targeted at teams of undergraduates, we are happy to allow anyone to enter into the “Open Competition” portion that is being run through Kaggle.\n\nPlease pay close attention to the prizes for this competition and their related eligibility requirements.  The top scoring teams of the Kaggle competition will be awarded prizes totaling $20,000 that have been generously donated by Kaggle.  Additionally, the top 3 undergraduate teams will be invited to the Signal Processing Cup finals, where they will compete for $10,000 in total prizes from the IEEE Signal Processing Society and will present their algorithms at the world’s largest signal processing conference – the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).\n\nIf you are an undergraduate team that wishes to compete in the Signal Processing Cup finals at ICASSP, it is important that you:\n\n1) Check the eligibility rules listed on both the “Prizes” subsection of the “Overview” section on the Kaggle competition page and on the IEEE Signal Processing Cup registration page which can be found here:\nhttps://signalprocessingsociety.org/get-involved/signal-processing-cup\n\n2) Add the phrase “_SPcup_eligible” to the end of your team’s name when registering for the Kaggle competition.\n\n3) Use the same team name when registering for the Kaggle competition and the IEEE Signal Processing Cup registration page\n\nYou can find more information on the Piazza site that we have set up for the Signal Processing Cup competition here:\nhttps://piazza.com/ieee_sps/other/spcup2018/home\n\nIf your team is eligible to participate in the finals, you can register with the IEEE Signal Processing Society here (this must be completed for you to be considered for the final competition at ICASSP):\nhttps://signalprocessingsociety.org/get-involved/signal-processing-cup\n\nIf you have questions, my co-organizer Paolo Bestagini and I will help answer them to the best of our ability.  We hope you find this competition challenging and exciting! Good luck everyone!\n\nMatthew Stamm\nIEEE Signal Processing Cup - Lead Organizer\nAssistant Professor, Drexel University",
      "votes": null
    },
    {
      "id": "261860",
      "postDate": "12/24/2017 09:01:58",
      "content": "<p>Hello !!</p>\n\n<p>Thank you very much for this interesting competition !</p>\n\n<p>Is it possible to get more details about the tools that were used to alter the test images so we can correctly replicate it on the training set ?</p>\n\n<p>Best,</p>",
      "rawMarkdown": "Hello !!\n\nThank you very much for this interesting competition !\n\nIs it possible to get more details about the tools that were used to alter the test images so we can correctly replicate it on the training set ?\n\nBest,",
      "votes": null
    },
    {
      "id": "262958",
      "postDate": "12/28/2017 12:47:28",
      "content": "<p>emmm, a question I want to inquire  is that  can we use the dataset, like the Dresden image database, to train a model as pre-train model?</p>\n\n<p>Best</p>",
      "rawMarkdown": "emmm, a question I want to inquire  is that  can we use the dataset, like the Dresden image database, to train a model as pre-train model?\n\nBest",
      "votes": null
    },
    {
      "id": "263036",
      "postDate": "12/28/2017 18:56:32",
      "content": "<p>Dear Matthew Stamm,</p>\n\n<p>I found the competition yesterday. Then, I found <a href=\"http://signalprocessingsociety.org/sites/default/files/uploads/get_involved/docs/SPCup_2018_Document.pdf\">http://signalprocessingsociety.org/sites/default/files/uploads/get_involved/docs/SPCup_2018_Document.pdf</a>, which says December 1, 2017 Deadline for team registration to join the open competition.</p>\n\n<p>Could I register a new team and compete?</p>\n\n<p>Thanks.</p>",
      "rawMarkdown": "Dear Matthew Stamm,\n\nI found the competition yesterday. Then, I found http://signalprocessingsociety.org/sites/default/files/uploads/get_involved/docs/SPCup_2018_Document.pdf, which says December 1, 2017 Deadline for team registration to join the open competition.\n\nCould I register a new team and compete?\n\nThanks.",
      "votes": null
    },
    {
      "id": "275496",
      "postDate": "01/29/2018 09:56:45",
      "content": "<p>I think it is possible but not necessary because the camera models in the data sets are different from those in the Dresden image database.</p>",
      "rawMarkdown": "I think it is possible but not necessary because the camera models in the data sets are different from those in the Dresden image database.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 261860,
      "author_name": "CVxTz",
      "author_url": "",
      "post_date": "12/24/2017 09:01:58",
      "content": "<p>Hello !!</p>\n\n<p>Thank you very much for this interesting competition !</p>\n\n<p>Is it possible to get more details about the tools that were used to alter the test images so we can correctly replicate it on the training set ?</p>\n\n<p>Best,</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 262958,
      "author_name": "oujiayu",
      "author_url": "",
      "post_date": "12/28/2017 12:47:28",
      "content": "<p>emmm, a question I want to inquire  is that  can we use the dataset, like the Dresden image database, to train a model as pre-train model?</p>\n\n<p>Best</p>",
      "votes": null,
      "replies": [
        {
          "id": 275496,
          "author_name": "ernestpoon",
          "author_url": "",
          "post_date": "01/29/2018 09:56:45",
          "content": "<p>I think it is possible but not necessary because the camera models in the data sets are different from those in the Dresden image database.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 263036,
      "author_name": "elyorcv",
      "author_url": "",
      "post_date": "12/28/2017 18:56:32",
      "content": "<p>Dear Matthew Stamm,</p>\n\n<p>I found the competition yesterday. Then, I found <a href=\"http://signalprocessingsociety.org/sites/default/files/uploads/get_involved/docs/SPCup_2018_Document.pdf\">http://signalprocessingsociety.org/sites/default/files/uploads/get_involved/docs/SPCup_2018_Document.pdf</a>, which says December 1, 2017 Deadline for team registration to join the open competition.</p>\n\n<p>Could I register a new team and compete?</p>\n\n<p>Thanks.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "261587": "Hello everyone,\n\nOn behalf of the IEEE Signal Processing Society, I want to welcome you to the “Open Competition” portion of the IEEE Signal Processing Cup!  This year’s competition is a multimedia forensics challenge: identify the model and manufacturer of an image’s source camera using only the image itself.\n\nThe IEEE Signal Processing Cup is an annual competition designed to expose teams to challenging problems in signal processing and machine learning.  While the Signal Processing Cup is targeted at teams of undergraduates, we are happy to allow anyone to enter into the “Open Competition” portion that is being run through Kaggle.\n\nPlease pay close attention to the prizes for this competition and their related eligibility requirements.  The top scoring teams of the Kaggle competition will be awarded prizes totaling $20,000 that have been generously donated by Kaggle.  Additionally, the top 3 undergraduate teams will be invited to the Signal Processing Cup finals, where they will compete for $10,000 in total prizes from the IEEE Signal Processing Society and will present their algorithms at the world’s largest signal processing conference – the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).\n\nIf you are an undergraduate team that wishes to compete in the Signal Processing Cup finals at ICASSP, it is important that you:\n\n1) Check the eligibility rules listed on both the “Prizes” subsection of the “Overview” section on the Kaggle competition page and on the IEEE Signal Processing Cup registration page which can be found here:\nhttps://signalprocessingsociety.org/get-involved/signal-processing-cup\n\n2) Add the phrase “_SPcup_eligible” to the end of your team’s name when registering for the Kaggle competition.\n\n3) Use the same team name when registering for the Kaggle competition and the IEEE Signal Processing Cup registration page\n\nYou can find more information on the Piazza site that we have set up for the Signal Processing Cup competition here:\nhttps://piazza.com/ieee_sps/other/spcup2018/home\n\nIf your team is eligible to participate in the finals, you can register with the IEEE Signal Processing Society here (this must be completed for you to be considered for the final competition at ICASSP):\nhttps://signalprocessingsociety.org/get-involved/signal-processing-cup\n\nIf you have questions, my co-organizer Paolo Bestagini and I will help answer them to the best of our ability.  We hope you find this competition challenging and exciting! Good luck everyone!\n\nMatthew Stamm\nIEEE Signal Processing Cup - Lead Organizer\nAssistant Professor, Drexel University",
    "261860": "Hello !!\n\nThank you very much for this interesting competition !\n\nIs it possible to get more details about the tools that were used to alter the test images so we can correctly replicate it on the training set ?\n\nBest,",
    "262958": "emmm, a question I want to inquire  is that  can we use the dataset, like the Dresden image database, to train a model as pre-train model?\n\nBest",
    "263036": "Dear Matthew Stamm,\n\nI found the competition yesterday. Then, I found http://signalprocessingsociety.org/sites/default/files/uploads/get_involved/docs/SPCup_2018_Document.pdf, which says December 1, 2017 Deadline for team registration to join the open competition.\n\nCould I register a new team and compete?\n\nThanks.",
    "275496": "I think it is possible but not necessary because the camera models in the data sets are different from those in the Dresden image database."
  },
  "source": "meta"
}