Exploring human computation via interactive online application
Training a computer vision algorithm to test whether an image contains a particular object, a dog for example, would involve presenting it with multiple images of a dog, each annotated with the precise location of the dog in the image. After processing enough images, the algorithm learns to find dog...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2010
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| Online Access: | http://hdl.handle.net/10356/36262 |
| _version_ | 1824454406193545216 |
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| author | Lee, Ming Hua. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Lee, Ming Hua. |
| author_sort | Lee, Ming Hua. |
| collection | NTU |
| description | Training a computer vision algorithm to test whether an image contains a particular object, a dog for example, would involve presenting it with multiple images of a dog, each annotated with the precise location of the dog in the image. After processing enough images, the algorithm learns to find dogs in arbitrary images. A major problem with this approach, however, is the lack of training data which must be prepared by hand.
This is a FYP Final Report to document all relevant background information, the game specification, its test results and findings regarding the project "Exploring Human Computation via Interactive Online Application". Tag! is a Game With A Purpose (GWAP); the interactive online application that make use of Human Computation to address the problem of collecting large amount of training data for computer vision algorithm. It has the purpose of improving image search and indexing as well.
Tag! is an online game application where players are randomly grouped in threes and placed in a room to compete round after round. As simple as the game title suggests, players will have to tag as many objects in that image as possible in each round. Subsequently, these tags will help to segment an arbitrary image into appropriate sub-images, each depicting an object with meaningful labels.
In February 2010, Tag! has its first playable version completed and is put for a closed beta trial test. This version consists only of the basic features required for a proper game play. The results are stored and analyzed, and turn out to be not quite expected. |
| first_indexed | 2025-02-19T03:21:48Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/36262 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:21:48Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/362622023-03-03T20:42:20Z Exploring human computation via interactive online application Lee, Ming Hua. School of Computer Engineering Tsang Wai Hung, Ivor DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Training a computer vision algorithm to test whether an image contains a particular object, a dog for example, would involve presenting it with multiple images of a dog, each annotated with the precise location of the dog in the image. After processing enough images, the algorithm learns to find dogs in arbitrary images. A major problem with this approach, however, is the lack of training data which must be prepared by hand. This is a FYP Final Report to document all relevant background information, the game specification, its test results and findings regarding the project "Exploring Human Computation via Interactive Online Application". Tag! is a Game With A Purpose (GWAP); the interactive online application that make use of Human Computation to address the problem of collecting large amount of training data for computer vision algorithm. It has the purpose of improving image search and indexing as well. Tag! is an online game application where players are randomly grouped in threes and placed in a room to compete round after round. As simple as the game title suggests, players will have to tag as many objects in that image as possible in each round. Subsequently, these tags will help to segment an arbitrary image into appropriate sub-images, each depicting an object with meaningful labels. In February 2010, Tag! has its first playable version completed and is put for a closed beta trial test. This version consists only of the basic features required for a proper game play. The results are stored and analyzed, and turn out to be not quite expected. Bachelor of Engineering (Computer Engineering) 2010-04-29T08:00:42Z 2010-04-29T08:00:42Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/36262 en Nanyang Technological University 78 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Lee, Ming Hua. Exploring human computation via interactive online application |
| title | Exploring human computation via interactive online application |
| title_full | Exploring human computation via interactive online application |
| title_fullStr | Exploring human computation via interactive online application |
| title_full_unstemmed | Exploring human computation via interactive online application |
| title_short | Exploring human computation via interactive online application |
| title_sort | exploring human computation via interactive online application |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | http://hdl.handle.net/10356/36262 |
| work_keys_str_mv | AT leeminghua exploringhumancomputationviainteractiveonlineapplication |