NTT Communication Science Laboratories and NII in TRECVID 2010 Instance Search Task
نویسندگان
چکیده
As a first step to the instance search task, we employed several existing image retrieval methods in combination (local feature matching, region matching, and global feature matching), according to the type and property of query images. The best run in this approach was ranked 23rd of 42 as regards the average precision result. Keywords; PCA-SURF; Bag of Features; Color histogram; Haar-Wavelet; Face Detection; OpenCV
منابع مشابه
NTT Communication Science Laboratories and National Institute of Informatics at TRECVID 2012 Instance Search and Multimedia Event Detection Tasks
This paper reports our methods and experimental results for two TRECVID 2012 tasks of instance search and multimedia event detection. For the instance search, we applied the BM25(Best Match 25) method, the state-of-the-art ranking function in the field of text retrieval, to the video retrieval task. Our BM25 features the following three factors: (i) the keypoint importance degree (ii) keypoint ...
متن کاملNTT Communication Science Laboratories at TRECVID 2010 Content Based Copy Detection
In this paper, we describe our approaches that were tested in the TRECVID 2010 Content-Based Copy Detection (CBCD) task. We introduce a method consisting of a feature degeneration and sparse feature selection process for video detection tasks, which is highly robust as regards video signal distortion. For audio detection tasks, we adopt a method based on spectral partitioning to cope with addit...
متن کاملNTT Communication Science Laboratories at TRECVID 2014 Instance Search Task
This paper reports our method and experimental result on the TRECVID 2014[1] instance search task. Since 2012, we have been applying BM25 (Best Match 25), i.e., the state-of-the-art probabilistic information retrieval method in the field of text retrieval, to the instance search task. The standard BM25 uses the well-known Inverse Document Frequency (IDF) as the key-point discriminative power, a...
متن کاملNational Institute of Informatics , Japan at TRECVID 2011
This paper reports our experiments for three TRECVID 2011 tasks: instance search, semantic indexing, and multimedia event detection. For the instance search task, we present three different approaches: (i) Large vocabulary quantization by hierarchical k-means and weighted histogram intersection based ranking metric (ii) Combination of similarities based on Glocal quantization of two set of SIFT...
متن کاملTowards the Real-World Semantic Web— Web Search based on Spatial and Temporal Metadata
To enrich human communication in ubiquitous environments, NTT Communication Science Laboratories have been conducting research on the Real-World Semantic Web. When you deal with real-world information in ubiquitous environments, spatial information and temporal information play important roles. However, it is difficult to deal with spatial or temporal search conditions in current Web search eng...
متن کامل