subject:(TBIR)

Brno University of Technology

1. Labuda, Adam. Klasifikace obrazů s pomocí umělé inteligence: Image classification using artificial intelligence.

Degree: 2019, Brno University of Technology

► This bachelor's thesis address the issue of classification and feature extraction of imagesfrom image. In JAVA platform will create an example that loads a set… (more)

Subjects/Keywords: Klasifikácia obrázkov; TBIR; CBIR; Načítanie obrazu na farebnej báze; Kruhové sektory; Neurón; Neurónová sieť; Dopredné šírenie; Spätné šírenie; CUDA; OpenCL; Image clasiffication; TBIR; CBIR; Color-based image retrieval; Method circular sectors; Neuron; Neural network; Feed-forward propagation; Backpropagation; CUDA; OpenCL

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Labuda, A. (2019). Klasifikace obrazů s pomocí umělé inteligence: Image classification using artificial intelligence. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/41299

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Labuda, Adam. “Klasifikace obrazů s pomocí umělé inteligence: Image classification using artificial intelligence.” 2019. Thesis, Brno University of Technology. Accessed January 24, 2021. http://hdl.handle.net/11012/41299.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Labuda, Adam. “Klasifikace obrazů s pomocí umělé inteligence: Image classification using artificial intelligence.” 2019. Web. 24 Jan 2021.

Vancouver:

Labuda A. Klasifikace obrazů s pomocí umělé inteligence: Image classification using artificial intelligence. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 24]. Available from: http://hdl.handle.net/11012/41299.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Labuda A. Klasifikace obrazů s pomocí umělé inteligence: Image classification using artificial intelligence. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/41299

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Reddy, Vishwanath Reddy Keshi. Image Retrieval Using a Combination of Keywords and Image Features.

Degree: 2008, , Department of Interaction and System Design

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3372

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Information retrieval systems are playing an important role in our day to day life for getting the required information. Many text retrieval systems are… (more)

Subjects/Keywords: Image Retrieval; Image Features; CBIR; TBIR; Ontology.; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Reddy, V. R. K. (2008). Image Retrieval Using a Combination of Keywords and Image Features. (Thesis). , Department of Interaction and System Design. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3372

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Reddy, Vishwanath Reddy Keshi. “Image Retrieval Using a Combination of Keywords and Image Features.” 2008. Thesis, , Department of Interaction and System Design. Accessed January 24, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3372.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Reddy, Vishwanath Reddy Keshi. “Image Retrieval Using a Combination of Keywords and Image Features.” 2008. Web. 24 Jan 2021.

Vancouver:

Reddy VRK. Image Retrieval Using a Combination of Keywords and Image Features. [Internet] [Thesis]. , Department of Interaction and System Design; 2008. [cited 2021 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3372.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reddy VRK. Image Retrieval Using a Combination of Keywords and Image Features. [Thesis]. , Department of Interaction and System Design; 2008. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3372

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Zheng, Shaochen. Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods.

Degree: MS, Computer Science, 2016, University of Windsor

URL: https://scholar.uwindsor.ca/etd/5924

► With advances in computer technology, there has been an explosion in the amount of digital images being generated. It is of importance to retrieve… (more)

▼ With advances in computer technology, there has been an explosion in the amount of digital images being generated. It is of importance to retrieve images accurately and e ciently. Text-based Image Retrieval (TBIR) methods are popular and practical in extensive applications and have been developed in the past decades. Since the process of TBIR is similar to Information Retrieval (IR), di erent techniques were adopted from IR and utilized to improve the performance of TBIR methods. In this thesis, we focus on three IR techniques which are Term Frequency - Inverse Document Frequency (TF-IDF), Vector Space Model (VSM) and Cosine Coe cient Similarity (CCS) measure. These three techniques have been utilized in TBIR methods together and separately and can e ectively improve the performance of TBIR methods. However, to the best of our knowledge, the TBIR methods that utilized the three techniques together are hybrid approaches, only the performance of Contentbased Image Retrieval (CBIR) and TBIR hybrid methods are evaluated by the authors. Consequently, the e ectiveness of applying these three IR techniques to TBIR methods is investigated by comparing the retrieval results of an experimental TBIR system in 2 di erent modes: one is the system implemented with only TF-IDF technique (Mode 2) and the other one with all three techniques (Mode 1). Based on the experiment results, the performance of the experimental TBIR system implemented with the three IR techniques is relatively ideal. In most cases, the average precision is above 80% on the IAPR TC-12 image database. Moreover, we also investigate how the repeated index terms a ect the performance of TBIR methods by comparing the top 5 retrieved images' rankings generated by the 2 modes of the experimental TBIR system. According to the experiment results, we found that adding VSM and CCS measure to the experimental TBIR system that is only implemented with TF-IDF technique could improve its performance in terms of ranking accuracy in most cases when images' annotations contain repeated index terms that match the query. Advisors/Committee Members: Wu, Dan.

Subjects/Keywords: Image Retrieval; Informational Retrieval; IR; TBIR; Text-based Image Retrieval

…Review of Related Works 1 Apply TF-IDF, VSM and CCS measure together to TBIR Methods 2 Apply… …VSM and CCS measure together to TBIR Methods . . . . . 3 Apply TF-IDF and VSM technique… …together to TBIR Methods . . . 4 Apply TF-IDF technique to TBIR Methods… …5 Apply VSM technique to TBIR Methods . . . . . . . . . . . . . . . 6 Summary… …III Applying TF-IDF, VSM and CCS to TBIR methods 1 Methodology and Techniques…

11 more images…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zheng, S. (2016). Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5924

Chicago Manual of Style (16^th Edition):

Zheng, Shaochen. “Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods.” 2016. Masters Thesis, University of Windsor. Accessed January 24, 2021. https://scholar.uwindsor.ca/etd/5924.

MLA Handbook (7^th Edition):

Zheng, Shaochen. “Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods.” 2016. Web. 24 Jan 2021.

Vancouver:

Zheng S. Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods. [Internet] [Masters thesis]. University of Windsor; 2016. [cited 2021 Jan 24]. Available from: https://scholar.uwindsor.ca/etd/5924.

Council of Science Editors:

Zheng S. Investigation of the Effectiveness of Applying Information Retrieval Techniques to Text-based Image Retrieval Methods. [Masters Thesis]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5924

4. Larsson, Jimmy. Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources.

Degree: Computer Science and Communication (CSC), 2016, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574

►

With a multitude of images available on the Internet, how do we find what we are looking for? This project tries to determine how… (more)

Subjects/Keywords: Taxonomy; Image Retrieval; TBIR; CBIR; WordNet; Text-Based Image Search; Content-Based Image Search; Computer Sciences; Datavetenskap (datalogi)

…call Text-Based Image Retrieval (TBIR), also known as Context-Based Image Retrieval… …CLUster-based rEtrieval of images • DBSM - Database Management Systems • TBIR - Text-Based Image… …which will be explained in detail in Section 3.1. In TBIR the main problem is that of finding… …a TBIR system and the data retrieved from a CBIR system, the combination of the two into a… …work is to evaluate how well a State-of-the-Art CNN based CBIR and a State-of-the-Art TBIR…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Larsson, J. (2016). Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Larsson, Jimmy. “Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources.” 2016. Thesis, KTH. Accessed January 24, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Larsson, Jimmy. “Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources.” 2016. Web. 24 Jan 2021.

Vancouver:

Larsson J. Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources. [Internet] [Thesis]. KTH; 2016. [cited 2021 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Larsson J. Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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Open Access Theses and Dissertations