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Combining text and audio-visual features in video …
https://www.researchgate.net/publication/224612839_Combining_text_and_audio-visual_features_in_video_indexing
The combination of text-based and video content-based search is substantially a multimodel fusion problem. Currently, most widely-used approaches measure the …
Combining text and audio-visual features in video …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.408
Abstract. We discuss the opportunities, state of the art, and open research issues in using multi-modal features in video indexing. Specifically, we focus on how imperfect text data obtained by automatic speech recognition (ASR) may be used to help solve challenging problems, such as story segmentation, concept detection, retrieval, and topic clustering.
"Combining Text and Audio-Visual Features in Video ...
https://works.bepress.com/r_manmatha/34/
We discuss the opportunities, state of the art, and open research issues in using multi-modal features in video indexing. Specifically, we focus on how imperfect text data obtained by automatic speech recognition (ASR) may be used to help solve challenging problems, such as story segmentation, concept detection, retrieval, and topic clustering.
Combining text and audio-visual features in video indexing
https://core.ac.uk/display/21129204
Combining text and audio-visual features in video indexing . By Shih-fu Chang, R. Manmatha and Tat-seng Chua. Abstract. We discuss the opportunities, state of the art, and open research issues in using multi-modal features in video indexing. Specifically, we focus on how imperfect text data obtained by automatic speech recognition (ASR) may be ...
Techniques for Text, Image, Audio and Video Indexing and ...
https://www.ijettcs.org/Volume4Issue5(2)/IJETTCS-2015-10-14-26.pdf
paper, we review the techniques for text, image, audio and video retrieval. We focus on indexing and retrieval techniques for text, image, audio and video. Here also discuss features visual features for video retrieval such as colour, texture, shape. The indexing techniques are discussed for these features.
Combining text and audio-visual features in video …
https://core.ac.uk/display/48667058
Abstract. 10.1109/ICASSP.2005.1416476ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - ProceedingsVV1005-V1008IPRO
Semantic indexing of multimedia content using visual ...
https://www.ee.columbia.edu/~sfchang/course/spr/papers/ibm-trecvid-EURASIP-21117.pdf
Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues 3 Retrieval Fusion Visual models Speech models Audio models Features Models features Visual features Visual Segmentation Media Annotation Figure 1: Diagram of semantic-concept analysis system. set of low-level features that is well established in literature.
Recent Talks of Prof. Shih-Fu Chang - Columbia University
https://www.ee.columbia.edu/~sfchang/talks.html
Case studies showing promising performance will be described, primarily in the broadcast news video domain. Combining Text and Audio-Visual Features in Video Indexing . Invited paper at ICASSP March 2005, Philadelphia. joint paper with R. Manmatha and Tat-Seng Chua.
, Fellow, IEEE, and Silvio Savarese IEEE ProofWeb Version
https://cvgl.stanford.edu/papers/CHEN_ITSP2010.pdf
Fig. 1. Block diagram of shrinkage optimized directed information (SODA) for fusion of audio and visual features for video indexing. Fig. 2. Visual illustration of the process of fusing audio and visual features where the visual features are obtained from a visual codebook using bag of words (BOW) based on SIFT features.
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