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Columbia Photographic Images and Photorealistic …
- https://www.ee.columbia.edu/ln/dvmm/downloads/PIM_PRCG_dataset/
- none
Columbia Photographic Images and Photorealistic …
- https://www.ee.columbia.edu/dvmm/publications/05/ng_cgdataset_05.pdf
- We have designed and implemented the Columbia Photographic Images and PhotorealisticComputerGraphicsDatasetinaccordancetothecriteriamen- tioned in Section 2. The dataset is used in our work for the classiflcation of PIM and PRCG [21]. The dataset consists of four sets of images, as shown in Figure 1 and brie°y described below.
Columbia photographic images and photorealistic …
- https://www.researchgate.net/publication/228873525_Columbia_photographic_images_and_photorealistic_computer_graphics_dataset
- This dataset, available from http://www.ee.columbia.edu/trustfoto, will be for those who work on the photographic images versus photorealistic com-puter …
Columbia Photographic Images and Photorealistic …
- https://www.semanticscholar.org/paper/Columbia-Photographic-Images-and-Photorealistic-Ng-Chang/846f9980d37a89c4390f5922a147fdaf5b61f1bb
- The design and the implementation of the Columbia Photographic Images and Photorealistic Computer Graphics Dataset is described, which will be for those who work on the photographic images versus photorealistic computer graphics classiflcation problem, which is a subproblem of the passive-blind image authentication research. Passive-blind image authentication is a new …
Classifying Photographic and Photorealistic …
- https://www.ee.columbia.edu/ln/dvmm/publications/04/ng-tech-report-nis-04.pdf
- 3.1 Photographic Images vs. Computer Graphics (CG) Classification CG is generally defined as any imagery generated by a computer, which includes PRCG, 2D drawing, and cartoon. In [4], the problem of classifying the CG and the photographic video key frames is considered, for the purpose of improving the video key retrieval performance.
Dataset Download - Columbia University
- https://www.ee.columbia.edu/~dvmmweb/dvmm/downloads/PIM_PRCG_dataset/dataset-download.htm
- Downloading the Columbia Photographic Images and Photorealistic Computer Graphics Dataset (Version 1) Photorealistic Computer Graphics Set [ Thumbnails] [ URL text file] Personal Set Personal Columbia Set [ Thumbnails] [ Downsized JPEG images (zip,55MB)] [ Original-size JPEG images (1-3MB per image)] Personal Greenspun Set [ Thumbnails]
CG vs Photo - Columbia University
- https://www.ee.columbia.edu/ln/dvmm/trustfoto/projs/photocg/cg-photo-classification.htm
- We address the issue of classifying photographic images (PIM) and photorealistic computer graphics (PRCG) images. The motivation is that PRCG can be used as image forgery. The problem is approached by analyzing the physical differences in the image formation process for the photographic images and PRCG.
coms4160 - computer graphics - Columbia University
- http://www1.cs.columbia.edu/~cs4160/
- In this class we will discuss methods for synthesizing images in two and three dimensions, with an emphasis on "photorealistic rendering". We will also spend time looking at other applications, including those for interactive rendering as used in computer games.
Classification of Computer Graphic Images and Photographic …
- https://iieta.org/journals/ria/paper/10.18280/ria.350303
- With the rapid advancement in digital image rendering techniques, allows the user to create surrealistic computer graphic (CG) images which are hard to distinguish from photographs captured by digital cameras. In this paper, classification of CG images and photographic (PG) images based on fusion of global features is presented.
Passive-blind Multimedia Information Forensic
- https://www.ee.columbia.edu/dvmm/researchProjects/AuthenticationWatermarking/BlindImageVideoForensic/BlindImageVideoForensic.htm
- Columbia Photographic Images and Photorealistic Computer Graphics Dataset. ADVENT Technical Report #205-2004-5 Columbia University, February 2005. [ Abstract] [ pdf] Tian-Tsong Ng, Shih-Fu Chang. Blind Detection of Digital Photomontage using Higher Order Statistics. ADVENT Technical Report #201-2004-1 Columbia University, June 2004.
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