TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Wartena, Christian
T1  - Segmentation Strategies for Passage Retrieval from Internet Video using Speech Transcripts
JF  - Journal of Digital Information Management
N2  - We compare the effect of different segmentation strategies  for passage retrieval of user generated internet video. We  consider retrieval of passages for rather abstract and complex queries that go beyond finding a certain object or  constellation of objects in the visual channel. Hence the retrieval methods have to rely heavily on the recognized speech. Passage retrieval has mainly been studied to improve document retrieval and to enable question answering. In these domains best results were obtained  using passages defined by the paragraph structure of the  source documents or by using arbitrary overlapping passages. For the retrieval of relevant passages in a video no author defined paragraph structure is available. We compare retrieval results from 5 different types of  segments: segments defined by shot boundaries, prosodic segments, fixed length segments, a sliding window and semantically coherent segments based on speech transcripts.  We evaluated the methods on the corpus of the MediaEval 2011 Rich Speech Retrieval task. Our main conclusions are (1) that fixed length and coherent segments are clearly superior  to  segments  based  on  speaker  turns  or  shot boundaries; (2) that the retrieval results highly depend on the right choice for the segment length; and (3) that results using the segmentation into semantically coherent parts depend  much  less  on  the  segment  length.  Especially, the quality of fixed length and sliding window segmentation drops  fast  when  the  segment  length  increases,  while quality of the semantically coherent segments is much more  stable. Thus, if coherent segments  are defined, longer segments can be used and consequently fewer segments have to be considered at retrieval time.
KW  - Text Segmentation
KW  - Video Segmentation
KW  - Multimedia Retrieval
KW  - User Generated Content
Y1  - 2013
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-11126
SN  - 0972-7272
SS  - 0972-7272
U6  - https://doi.org/10.25968/opus-1112
DO  - https://doi.org/10.25968/opus-1112
VL  - 2013
IS  - 11(6)
SP  - 400
EP  - 408
ER  -