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This paper summarizes the MSR Image Recognition Challenge (IRC) running with ICME 2016 Grand Challenges. Since 2013, Microsoft Research has hosted a series of IRCs to motivate the academic and industrial community to solve real-world large-scale image retrieval and recognition problems. This IRC in ICME 2016 continually leveraged the Clickture dataset [1], a large-scale real-world image click data...
“Tell Me What” is smart phone based image recognition system, and it is also an automatic pipeline for generating image recognition systems to recognize an arbitrary set of entities. For any given set of entities, “Tell Me What” backend system automatically fetches related image data from the Internet for each entity, and then run a comprehensive data cleaning process to purify the data. A multi-class...
This paper introduces the MSR-Bing grand challenge on image retrieval. The challenge is based on a dataset generated from click logs of a real image search engine. The challenge is to mine semantic knowledge from the dataset and predict the relevance score of any image-query pair. A brief introduction to the dataset, the challenge task, and the evaluation method will be presented. And then the methods...
To achieve a composite integration of automation system on underground ore transport information and enhance the production efficiency and the management level of the mine, this article uses image processing and pattern recognition technology to establish the information platform of the relationships of crew, vehicles, mountain Pulse number and output.
Text in video frames contains high-level semantic information and thus can contribute significantly to video content analysis and retrieval. Therefore, video text recognition is crucial to the research in all video indexing and summarization. In the processing of video text recognition, in the extraction step, background in the text rows is removed so only the text pixels are left for recognition...
In this paper, a robust gait recognition algorithm based on key frame and ellipse model is proposed, which solves the problems including finding key frames on discontinuous contour segmentation and accurate feature extraction on ellipse model. Firstly, a robust extraction algorithm of key fame is introduced, which makes detection of key fames easier and more accurate. Secondly, human bodies corresponding...
In this paper, a novel data fusion-based method for face image recognition is proposed. Firstly by applying Gabor filter approaches to a image and the image is classified. Secondly, a novel hair locator algorithm, based on the locally dissimilarity pixel feature, has also been applied to the same face image. An image fusion algorithm have been implemented and evaluated on common data sets. We compared...
There are almost more than 4,000 sorts of algae which could result in the red tide in the world, but only two or three, named the dominant species, place a premium on red tide at a time. This paper presents a method which uses the hyper-spectral images of different familiar dominant species to train the different networks respectively, then synthesizes the outputs of the networks with the same weight...
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