Image retrieval: Ideas, influences, and trends of the new age
By Ritendra Datta, Dhiraj Joshi, Jia Li, James Ze Wang. 2008
3,871 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Retrieval & Search
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Dacheng Tao
- Luc Van Gool
- Yi Yang
- Trevor Darrell
- Xiaogang Wang
- Ming-Hsuan Yang
- Jitendra Malik
- Andrew Zisserman
In Information Retrieval & Search
- Shih-Fu Chang
- Jun Wang
- C. V. Jawahar
- Sanjiv Kumar
- Rob Fergus
- Antonio Torralba
- Svetlana Lazebnik
- Kristen Grauman
Citations in the corpus
- A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics (2012, methodology): “The two main tasks we use for evaluating our system are image-to-image search, which has been traditionally studied as content-based image retrieval (Datta et al., 2008; Smeulders et al., 2000), and tag-to-image search, or image retrieval using text-based queries (Grangier and Bengio, 2008; Krapac e”
- A Decade Survey of Content Based Image Retrieval Using Deep Learning (2020, neutral): “[2] in 2000, [20] in 2002, [21] in 2004, [22] in 2006, [23] in 2007, [24] in 2008, [25] in 2014 and [26] in 2017.”
- Reinforced Similarity Integration in Image-Rich Information Networks (2013, neutral): “Index Terms—Information retrieval, image mining, information network, ranking Ç”
- Query Expansion Techniques for Information Retrieval: a Survey (2017, neutral): “, for review on image retrieval [162] [81]).”
- Ontologies and the semantic web (2006, background): “, text) [16], and the automated annotation of both text [6] and images [5].”
- Evaluating Color Descriptors for Object and Scene Recognition (2010, background): “In general, systems for category recognition on images [1], [2], [3], [4], [5] and video [6], [7], [8] use machine learning based on image descriptions to distinguish object and scene categories .”
- Automatic Caption Generation for News Images (2013, background): “In the literature, normalized cuts is reported to achieve better segmentation results in many applications compared to other methods (Datta et al., 2008) .”
- On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval (2014, background): “The second is that the space should enable semantic abstraction.”
- Complex Wavelet Structural Similarity: A New Image Similarity Index (2009, background): “Typically features invariant to rotation, translation are designed [ 62 ].”
- Data-driven visual similarity for cross-domain image matching (2011, background): “Also related is the vast field of Content-Based Image Retrieval (CBIR) (see [Datta et al. 2008] for overview).”
- Robust Part-Based Hand Gesture Recognition Using Kinect Sensor (2013, background): “EMD is widely used in many problems such as content-based image retrieval and pattern recognition [34], [35].”
- Distance based similarity models for content based multimedia retrieval (2013, methodology): “In general, similarity models play a fundamental role in any multimedia retrieval approach, such as content-based approaches to image retrieval [Smeulders et al., 2000, Datta et al., 2008], video retrieval [Hu et al., 2011], and audio retrieval [Mitrovic et al., 2010].”
- Content-based visual search learned from social media (2012, background): “For a more comprehensive survey, we refer to [27, 106].”
- Lire: lucene image retrieval: an extensible java CBIR library (2008, neutral): “In current research efforts in visual information retrieval especially global features, which denote features capturing characteristics of the whole image instead of focusing for instance on segments, regions or patches, have lost part of their significance [4].”