Graduate School and Research Center in Digital Sciences

Hierarchical ontology-based robust video shots indexing using global MPEG-7 visual descriptors

Benmokhtar, Rachid;Huet, Benoit

CBMI 2009, 7th International Workshop on Content-Based Multimedia Indexing, June 3-5, 2009, Chania, Crete Island, Greece

      This paper proposes to improve our previous work on the concept-based video shot indexing, by considering an ontological concept construction in the TRECVid 2007 video retrieval, based on two steps. First, each single concept is modeled independently. Second, an ontology-based concept is introduced via the representation of the influence relations between concepts and the ontological readjustment of the confidence values. The main contribution of this paper is in the exploitation manner of the inter-concepts similarity in our indexing system, where three measures are represented: co-occurrence, visual similarity and LSCOM-lite ontology path length contribution. The experimental results report the efficiency and the significant improvement provided by the proposed scheme.

Document Doi Bibtex

Title:Hierarchical ontology-based robust video shots indexing using global MPEG-7 visual descriptors
City:Crete Island
Department:Data Science
Eurecom ref:2743
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Bibtex: @inproceedings{EURECOM+2743, doi = {}, year = {2009}, title = {{H}ierarchical ontology-based robust video shots indexing using global {MPEG}-7 visual descriptors}, author = {{B}enmokhtar, {R}achid and {H}uet, {B}enoit }, booktitle = {{CBMI} 2009, 7th {I}nternational {W}orkshop on {C}ontent-{B}ased {M}ultimedia {I}ndexing, {J}une 3-5, 2009, {C}hania, {C}rete {I}sland, {G}reece}, address = {{C}rete {I}sland, {GREECE}}, month = {06}, url = {} }
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