在 SIP 2006 與 Session Chair 合照

SIP 2006 的 議程 除了四場的專題演講(Keynote Address) 之外, 論文報告總共分成 9 個 Sessions, 分別是:

Session 1 - Pattern Recognition
Session 2 - Video Signal Processing
Session 3 - Image Processing Applications
Session 4 - Image Processing and Analysis I
Session 5 - Image Processing and Analysis II
Session 6 - Biomedical Signal and Image Processing
Session 7 - Signal Processing for Communication
Session 8 - Signal Processing Applications
Session 9 - Signal Processing and Filtering

我們的論文被安排在 Session 4 - Image Processing and Analysis I,
報告的時間在 Tuesday, August 15, 2006
早上 8:30 在 Kahuku Room

Session 4 的 Chair 是 Yan Meng, 報告的 12 篇論文中,
有 3 篇來自 USA, 2 篇來自 Germany, 2 篇來自 Korea,
其餘 5 篇論文分別來自 The Netherland, Hongkong PRC, Japan, Brazil, Taiwan。

在 SIP 2006 巧遇王元凱教授

2006/08/14 下午, 我們前往 SIP2006 會議會場 Sheraton Waikiki Hotel 報到, 在放置點心的交流廳巧遇了也是同樣來自台灣的 王元凱教授, 王教授任教於 輔大電子系, 也曾經當過 IAPR 學會 Taiwan 分會的祕書長, 去年在翡翠灣舉辦過 CVGIP 2005 研討會, 我們實驗室也有不少老師同學前往參加該研討會。因此, 大家還算熟識, 這次在夏威夷相遇, 實在頗神奇。不過更神奇的是王教授夫婦也是住在整修中的 Ohana Islander Waikiki。王教授發表的論文被安排在會議第一天下午報告, 此時他已經報告完畢, 無事一身輕了。



你注意到我們所背的 IASTED 包包了嗎? 標價一個 670 美元, 可不輸給LV 呢！至於身上的 Aloha Shirt, 則是路邊攤買的, 15 美元搞定。

今天的任務是要把論文報告的會場弄清楚, 我們的論文被安排在 SIP Session 4 - Image Processing and Analysis, 第二天早上在 Kahuku Room 報告, 這個會場有個很棒的視野, 正面對著游泳池與太平洋。

SIP 2006 的投影片終於完成了

今天晚上要搭機前往夏威夷, 終於趕在昨晚把投影片完成了, 前後差不多改了一個星期才完成。

A NOVEL QUANTITY BASED ON CLIPPING STATISTICS FOR JSTEG STEGANALYSIS,
Yeuan-Kuen Lee, Shih-Yu Hwang, Zhan-He Ou,
8th IASTED Int. Con. on Signal & Image Processing (SIP 2006),
August 14-16, 2006, Honolulu, Hawaii, USA


PPT Download ...

SIP 2006 的 final paper

A NOVEL QUANTITY BASED ON CLIPPING STATISTICS FOR JSTEG STEGANALYSIS,
Yeuan-Kuen Lee, Shih-Yu Hwang, Zhan-He Ou,
8th IASTED Int. Con. on Signal & Image Processing (SIP 2006),
August 14-16, 2006, Honolulu, Hawaii, USA

這篇論文是根據 reviewers 的意見修改後,
再依照 SIP 研討會的論文格式編輯後的 final paper。

這次的論文修改, 主要著重在加強實驗的測試影像與描述實驗結果上。根據第二位 reviewer 的意見, 我們原本的測試影像和依般論文常用的影像不同, 所以我特地從 USC-SIPI Image Database 的 Miscellaneous 中, 下載了 8 個大小為 512*512 的標準彩色影像做測試, 並將實驗結果用 Table 1 與 2 詳細地描述呈現。

這次 reviewers 給意見, 應該可以算是對我們有所肯定, 各項分數的評分如下:

The numerical list below is a list of the reviewers' averaged score for the criteria of originality, contribution, references, presentation, and language for your paper. Please note that the final result of the paper is in no way solely dependent upon the numerical scores assigned by the reviewers. Other factors such as the total number of submissions, comments, and relevance to conference topic area also influence the final result. Also, please note that some reviewers may choose not to state any comments.

(Key: 1=Excellent, 2=Good, 3=Satisfactory, 4=Unsatisfactory, 5=Poor)

Originality: 2.0
Contribution: 3.0
References: 3.0
Presentation: 3.0
Language: 3.0

Final Result: Accepted

第一個 reviewer 的 comments 如下:

Contribution:
Describes the use of a statistical method based on color clipping to identify stego-images and to extract covert information from Jsteg stego-images.

Suggestions:
1. In the second page substitute "space than RGB space" by "space instead of RGB space".
2. In the fifth page substitute "should step 2 repeat" by "should step 2 be repeated".
3. It would be advantageous to adress more the low contrast images problem.

第二個 reviewer 的 comments 如下:

Contribution:
The paper presents a new approach in steganalysis detection for images modified using the Jsteg tool. The main contribution of the paper is that it makes the association between high number of color overflows and the presence of steganographic message. The authors then suggest that a test for hidden data can be performed by further embedding hidden data. The experimental results may or may not be illustrative. As the authrors acknowledge, the number of random message insertions may be hard to find. It is also unclear how large the message must be. The images used are not standard and have not been presented or described in detail.

Overall, I think the paper has real potential to spark a discussion at the conference. I believe however that the way the method is presented as well as the value of the experiments are working against the overall paper value. A sign of the experiment's solidity is the lack of comparison with any steganalysis tool.

Suggestions:
Clealry describe the data sets. Refine the algorithm details (how many rounds were really run for each image, what was the size of the embed message).

投稿 SIP 2006

剛剛終於在最後一刻把論文投稿到 SIP 2006 了, 了結了近兩個月來, 心頭上最大的一件事！

研討會是今年八月中旬在夏威夷舉辦, 可不可以去就要等五月中的通知。

論文的題目我定為: A NOVEL QUANTITY BASED ON CLIPPING STATISTICS FOR JSTEG STEGANALYSIS, 其實我原本想要改成: QUANTITATIVE STEGANALYSIS BASED ON CLIPPING STATISTICS FOR JSTEG IMAGES, 後來覺得還是保守一點, 將這篇論文的貢獻定位在提出一個新的 quantity 就好, 等將來把這個題目做得更完整一點, 再把題目定得看起來很了不起。